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Keras Training

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  • Trainee & Advanced level Classes.
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  • Best Practice for interview Preparation Techniques in Keras.
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  • Convenient Fees by Best curriculum Created by Industrial Keras Specialist.
  • Presented by 12+ years of Keras Certified Professional.
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Get Learn and Advancement Career With Our Keras Certification

  • Our Keras Training course aims to provide high-quality guidance that combines fundamental knowledge of important concepts with a hands-on approach.
  • Learners will be able to scale up their skills and undertake real-time projects using best practices after being exposed to current industrial use-cases and scenarios.
  • The training will teach you how to determine the optimum parameters in neural networks using GridSearchCV, Keras Multilayer Perceptron, Recurrent Neural Networks, and an overview of predefined activation functions, among other things.
  • You'll also learn how to get an intermediate layer's output, an overview of preconfigured neural network layers, and how to install Keras on Docker, among other things.
  • Each component of the course focuses on a single notion and demonstrates how to develop the complete implementation using Keras and Python.
  • We'll go through their syntax, compare how they work, and figure out which one to utilize in which situation.
  • We provide a course completion certificate for every course we offer.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Biggest reasons to use Keras stem from its guiding principles, primarily the one concerning being easy.
  • Beyond simple learning and simple model building, Keras offers the benefits of broad adoption, support for a good vary of production preparation choices, integration with a minimum of 5 back-end engines (TensorFlow, CNTK, Theano, MXNet, and PlaidML), and robust support for multiple GPUs and distributed coaching.
For beginners, Keras is much easier to learn. But for additional advanced applications, TensorFlow has more capabilities. once deciding that to use, it's necessary to suppose the scale of the datasets, what proportion the project might have to scale, and what level of performance is needed.
  • User-Friendly and Fast Deployment.
  • Quality Documentation and Large Community Support.
  • Multiple Backend and Modularity.
  • Pretrained models.
  • Multiple GPU Support.
  • Problems in low-level API.
  • Slower than its backend.
Keras requires you to write code that is relatively simpler than TensorFlow, so it took about another 2–3 weeks to get the basics to advance.
  • Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load.
  • It offers consistent & simple APIs, minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
  • It also has extensive documentation and developer guides.
  • Basic knowledge of any programming language
  • Knowledge of Database like SQL queries (DML and DDL)
  • Aware of Basic Unix commands
  • Keras is a python based deep learning framework, which is the high-level API of Tensor flow.
  • Tensor flow nodes and tensioners are Python objects, and TensorFlow applications are Python applications themselves. It means Tensorflow is a python concept.

Is there any advantage with Keras certification training?

You can export Keras models to JavaScript to run directly in the browser, to TF Lite to run on iOS, Android, and embedded devices. It's also easy to serve Keras models as via a web API.

Mention the features of Keras online course?

  • Keras focus on user experience
  • Large adoption in the industry
  • Multi-backend, multi-platform
  • Fast prototyping
  • Runs seamlessly on CPU and GPU
  • Freedom to design any architecture

Do I need coding knowledge to learn Keras training?

Don’t bother about coding, to learn Keras it is not a must to have any coding skills. Just you need to have some knowledge of basic python or java or R language fundamentals. After getting some experience you will come to know about your knowledge and then you can start deploying with Keras.

List out the top companies that attract a certification in the Keras course?

If we talk about the industry attraction of Keras, many examples exist like,
  • Netflix
  • Uber
  • Google
  • Instacart
  • Huawei
  • Expedia
  • Zocdoc

How much certified Keras employees make?

On average for Keras employees, 70% of salaries range between ₹ 13 lakhs to ₹ 32 lakhs per annum. Keras at present has a huge value in industries and candidates are hired for a decent package.
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Overview of Keras Training

Our Keras Online Course is intended to provide quality instruction covering solid basic knowledge and practical approaches to core ideas. Strengthening their talents and conducting real-time projects with good practices would assist students to expose themselves to the current industries. CIFAR-10 pictures with DL, implementation of KERAS in a future-oriented scope for better secure application, are made by Keras Online Training Trainer to provide you with expertise in determining ideal parameters for neural networks utilizing GridSearchCV, Multilayer Perceptron in Kera, Recurrent Neural Networks. You will also be given an overview of how you can achieve the output of an intermediate layer, how you can use Keras, and how you can utilize Keras.

Additional Info

About Keras :

KERAS is a state-of-the-art Neural Network library, written in Python and capable of working on Theano, TensorFlow, or CNTK. It was built by one of Google's engineers, Francois Chollet. It is designed to be easy to use, expandable, and a module to facilitate rapid testing through deep neural networks. Keras Online Training supports not only Convolutional Networks and Recurrent Networks individually but also their combinations. It cannot handle low-level calculations, so it uses the Backend library to resolve it. The backend library works as a high-level API for low-level API, allowing it to run on TensorFlow, CNTK, or Theano.

Initially, it had more than 4800 donors when it was launched, which has now grown to 250,000 developers. It has 2X growth since every year it has grown. Major companies such as Microsoft, Google, NVIDIA, and Amazon have contributed to the development of the Kera. It has amazing industry connections and is used for the development of popular firms such as Netflix, Uber, Google, Expedia, etc.

What makes the Kera special?

  • Focusing on the user experience has always been a big part of the Kera.
  • Great acceptance in the industry.
  • Multiple backend also supports multiple platforms, helping all encoders to assemble to generate codes.
  • The existing research community of the KERASs works amazingly well with the production community.
  • It is easy to understand all the concepts.
  • Supports fast prototyping.
  • Works seamlessly on the CPU and GPU.
  • It gives you the freedom to build any build, which is later used as a project API.
  • It's really easy to start with.
  • The easy production of the models actually makes the KERASs special.

KERAS User Information :

  • Keras is a personalized API
  • Good practices followed by the Kera to reduce the burden of understanding, ensure that the models are flexible, and the corresponding APIs are simple.
  • They are not made for machines
  • Keras provides a clear answer where any error occurs that reduces the number of user actions in most of the common cases of use. Easy to read and use.
  • Very flexible
  • Kera provides high flexibility for all its developers by combining low-level learning languages ​​such as TensorFlow or Theano, which ensures that anything written in the basic language can be done at Keras.

How does Keras Support a Multi-backend and Multi-platform Claim?

Keras Course can be built on R and Python, as the code can be run with TensorFlow, Theano, CNTK, or MXNet as needed. Kera can be run on CPU, NVIDIA GPU, AMD GPU, TPU, etc. It ensures that producing Kera models is very easy as it fully supports TensorFlow service, GPU acceleration (WebKeras, Keras.js), Android (TF, TF Lite), iOS (Native CoreML) and Raspberry Pi.

Why Do We Need kera?

  • Keras is an API that is made easy to read for people. Keras was made easier. It provides consistent and simple APIs, minimizes the action required to use standard code, and explains user error explicitly.
  • Defense time at Keras is short. This means that your ideas can be made and implemented in a short time. Keras also offers a variety of shipping options depending on user requirements.
  • Languages ​​with a high level of output and built-in features slow down and create custom features at a time can be difficult. But Kera runs over TensorFlow and is fast. Kera is also deeply integrated with TensorFlow, so you can create custom workflows easily.
  • The Kera research community is large and highly developed. The texts and resources available are much larger than other in-depth reading frameworks.
  • Kera is used for trading by many companies such as Netflix, Uber, Square, Yelp, etc. which have included products on public domains built using Kera.

Apart from this, kera have Features such as :

  • Works well on both CPU and GPU.
  • Keras Course supports almost all neural network models.
  • It is a natural process, which makes it descriptive, flexible, and capable of new research.
  • Kera Applications
  • Kera used to create deep models can be made on smartphones.
  • Kera are used for the widespread training of in-depth learning models.
  • Kera are used by companies like Netflix, Yelp, Uber, etc.
  • Kera are widely used in in-depth learning competitions to create and deliver effective, fast-paced models in a short period of time.

Keras Principles :

  • User-friendliness - Keras is an API, constructed for citizenry , not machines. It lays the user experience center and front. It emphasizes the simplest exercise in reducing cognitive tasks like it proffers easy and engaged APIs, reduces the action required for general use cases and Keras Course provides clear and actionable results over user errors.
  • Easy Extensibility - New components are often added easily like new groups or functions, and even current components provide broad examples like newly added components permit complete articulation that creates Keras an honest choice for a breakthrough.
  • Modularity - A working model are often described as a sequence or a graph of abandoned, entirely configurable components that fuel jointly with some restrictions. generally , neural networks, cost functions, initialization schemes, activation functions, optimizers, regularization schemes are solo functions that employment together to supply new models.
  • Operate with Python - Possessing no different configuration models data during a predefined format, models are addressed in Python code only which is compact, light to debug, tweak, and provides ease to flexibility.

Keras layers :

Keras features a wide collection of predefined layer types and it also supports writing one own layer.

  • Core Layers - It consists dense (dot product + bias), Activation function (transfer function having neuron shape), Dropout (randomly, fix a neighborhood of inputs to zero at a rate of every training update to dodge overfitting), Lambda (bind an arbitrary interpretation as a layer object).
  • Convolution Layers - the utilization of filters to style a feature map that executes from 1D to 3D and incorporates most variants like cropping and transposed convolution layers for each dimensionality. 2D convolution that's motivated by the visual area is employed for image recognition.
  • Pooling Layers - they're conducted from 1D to 3D that involve variants as max and average pooling. Nearby connected layers serve like convolution layers.
  • Recurrent Layers - They include simple that are fully connected recurrence, gated, LSTM and other layers that are beneficial for language processing during which Noise Layers aid to evade overfitting.

Kera's Backend :

Kera being an equal library helps to build deeper learning models by providing high quality building blocks. All low-level statistics like Tensor products, convolutions, etc. They are not owned by Kera himself, but rather rely on a special deceptive library that is well-designed to function as a back-up engine. Keras is so well-mannered that instead of installing a single single tensor library and performing tasks related to that particular library, it provides connectivity to the various rear engines at Keras.

The Kera contain three rear engines, the following :

  • TensorFlow :

    TensorFlow is a product of Google, which is one of the most popular in-depth study tools used in the field of machine learning and in-depth neural network. It entered the market on 9 November 2015 under the Apache License 2.0. It is designed to work easily on multiple CPUs and GPUs as well as on mobile operating systems. Contains various wrappers in different languages ​​such as Java, C ++, or Python.

  • Theano :

    Theano was developed at the University of Montreal, Quebec, Canada, by the MILA team. It is an open source library that is widely used to perform mathematical tasks for various identical members by including scipy and numpy. It uses GPUs to calculate quickly and neatly collects gradients by automatically creating graphical graphs. It turned out to be very suitable for unstable talk, as it begins to look at them mathematically and then integrates them with more stable algorithms.

  • CNTK :

    The Microsoft Cognitive Toolkit is an open source framework for learning. It contains all the basic building blocks, needed to build a neural network. The models are trained using C ++ or Python, but include C # or Java to load the prediction model.

Roles and Responsibilites :

Machine Learning Engineering Responsibilites :

  • Read and modify data science prototypes
  • Design machine learning programs
  • Research and use ML algorithmms and relevant tools
  • Develop machine learning programs according to needs
  • Select appropriate data sets and data representation methods
  • Implement machine learning tests and tests
  • Perform statistical analysis and correction using test results
  • Trains and re-training programs where needed
  • Expand existing ML libraries and frameworks
  • Keep up-to-date with developments in the industry

Tools and FrameWorks :

There are two sorts of the leading framework :

  • Sequential API :

    it's supported the concept of sequence of layers, this is often the foremost notorious and elementary a part of Keras. It supports designing models layer-by-layer for complex problems with the limitation that Sequential API doesn’t build models that share layers or exhibit multiple inputs and outputs.

  • Functional API :

    It are often accounted for as a linear stockpile of layers. It favors designing an equivalent models while providing more flexibility in terms of readability and accessibility. It considers multiple input and output layers along side shared layers that permit to construct complex network structures. While employing a functional API, one must run the previous layer to this layer that needs the implementation of the input layer.

1. Auto Keras :

This framework is built on DATA board for the purpose of making machine learning accessible to everyone. It is an easy way to do a lot of machine learning activities. Supported Kera defaults for image splitting, image resizing, text splitting, text retrieval, systematic data editing, and formal data retrieval.

2. Keras Tuner :

This framework is designed to remove the hyper parameter search head. Awesome and simple framework for adding hyper parameters. It helps you find the hyper parameter values ​​that best fit your model

3. Keras Tensorflow.js :

    This framework is designed to deploy deep Kera learning models on browser servers or nodes. You can even train neural network models in browsers or servers. This framework provides a good learning curve for developers who are familiar with javascript but are new to machine learning.

    Features of Tensorflow.js :

  • It allows us to import pre-trained or existing Keras models or TensorFlow.
  • We can also read the imported model in a web browser.
  • It allows us to use transfer learning to enlarge the model using image retraining.

4. Model Application Toolkit :

    Tensorflow provides this toolkit for enlarging machine learning models for submission. The main applications of this toolkit are:

  • Reduce the delay costs of mobile and IoT devices.
  • Deployment and storage of deep learning models on access devices such as broadband network devices.
  • This toolkit offers the following features :

  • It helps to choose the best model for our needs. Recommends models based on the required size and weight.
  • It checks if any pre-configured models are available in our app.
  • Allows the creation of already trained Tensorflow models.

5. TFX :

TFX is a tool for making and managing production pipelines to deliver our in-depth learning models in the production phase. Create machine learning capabilities on various platforms such as Apache Beam, Apache Airflow, and Kubeflow. Use TFX materials that help build the machine learning process. In short, TFX provides a set of tools as a set of framework to integrate the basics of monitoring your in-depth learning program.

Some of the most popular TFX features are :

  • Example Gen: database import and spitting.
  • Statistics Gen: statistical calculations on the database.
  • Schema Gen: creating a data schema.
  • Convert: to use feature engineering in databases.
  • Some of the most popular TFX libraries are :

  • Tensorflow data validation: a python pack for data analysis.
  • TFX Tensorflow Transform: helps to process data in TensorFlow.
  • Tensorflow Metadata: defining table data and providing statistics in the database.

Required Skills :

KeraS are for deep learning, not machine learning :

  • You need to know python as system information,
  • the formation of a basic neural network to begin with.
  • more details: Kerans is a high-level library of deep learning ultimately using the theano / tensorflow these two low-level languages ​​and helps you build a neural network from scratch. which means you can define your activation function.
  • You need to have a basic knowledge of the Python program, Python Machine Learning, and Intermediate Level Mathematics

Certification :

After completing this education, you'll collect a certificate of completion, which states that you simply have efficiently completed our Kera education You receives certified in Kera with the useful resource of the usage of clearing the online examination with a minimum score of 70%.We will provide you with a simulation exam and a exercising exam so as to assist you steel oneself against the certification exam

Benefits :

  • It is very easy to understand and includes the fast delivery of network models.
  • It has great social support in the market as many AI companies want to use it.
  • It supports multiple backlinks, which means you can use any of them between TensorFlow, CNTK, and Theano with KERASs as a backend depending on your need.
  • As easily deployed, it also holds platform support. The following KERAS devices can be used:
  • iOS with CoreML
  • Android with TensorFlow Android
  • Web browser with .js support
  • Cloud engine
  • Raspberry pi
  • It supports data uniformity, meaning that Kera can be trained on multiple GPUs for example to speed up training time and process large amounts of data.

Payscale :

The average tuition fee in the machine industry in India is ₹ 501K. The average average tuition fee in India is 905K.

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Key Features

ACTE offers Keras Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Keras Training
Module 1: Basic Overview of Keras
  • Understanding the features of Keras
  • Advantages of Keras
  • Keras Limitations
Module 2: Keras Installation and API

    Installig Keras

  • Installation of dependencies
  • Installation of Theano
  • Installation of TensorFlow
  • Installation of Keras
  • Testing each Installation
  • Configuring Keras

  • Installation of Keras on Docker
  • Installation of Keras on Google Cloud ML
  • Installation of Keras on Amazon AWS
  • Installation of Keras on Microsoft Azure
  • Keras API

  • Basic Architecture of Keras
  • Overview of predefined neural network layers
  • Overview of predefined activation functions
  • Understanding Losses Functions
  • Understanding Metrics
  • Some Useful Operations
Module 3: Overview of Deep Learning with ConvNets
  • Deep Convolutional Neural Network
  • Understanding Deep Convolutional Neural Network (DCNN)
  • Simple Example of DCNN
  • Recognizing CIFAR-10 images with DL
Module 4: Concept of Generative Adversarial Networks and Wavenet
  • Overview of GAN
  • Keras adversarial GANs for forging MNIST
  • Keras adversarial GANs for forging CIFAR
  • Understanding WaveNet
Module 5: Word Embeddings
  • Distributed Representations
  • Understanding word2vec
  • GloVe Exploring functionalities
  • Using pre-trained embeddings
Module 6: Overview of Recurrent Neural Networks RNN
  • Basics of SimpleRNN cells
  • Understanding RNN Topologies
  • Using Gated Recurrent Unit -GRU
  • Concept of Bidirectional RNNs
  • Vanishing and exploding gradients
  • Using Long Short Term Memory -LSTM
  • Understanding Stateful RNNs
Module 7: Additional Deep Learning Models
  • Dealing with Keras Functional API
  • Understanding Regression Networks
  • Concept of Unsupervised Learning
  • Keras Customization scenario
  • Using Generative Models
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Need customized curriculum?

Get Hands-on Knowledge about Real-Time Katalon Projects

Project 1
Sequential API Project

This project supported the idea of collection of layers, that is regularly the most infamous and essential a part of Keras.

Project 2
Theano Project

It is an open-supply Project which this is extensively used to carry out mathematical responsibilities for numerous equal participants

Project 3
CNTK Project

The Microsoft Cognitive Toolkit is an open-supply framework challenge for getting to know. It contains all of the primary building blocks, had to build a neural network.

Project 4
TensorFlow Project

TensorFlow is a made of Google, that is one of the maximum famous in-intensity take a look at equipment used withinside the discipline of system getting to know and in-intensity neural network.

Our Efficient Partner for Placements

Every student / professional who fulfills our learning environment or online training is ready for a placement opportunity as an add-on. more number of our students work for the businesses listed below.
  • We are associated with top organizations like Diverse Lynx, WinfoGlobal Technologies, Titan, Accenture, Google, CTS, TCS, IBM, etc. It aims to enable us to place our students in top multinational corporations throughout the world.
  • The placement division works in tandem with the candidates' goals and lends a hand throughout the placement process.
  • Students can come to us at any time after completing the course to clear their doubts and revisit any concept. students can also seek assistance in resolving their work-related problems.
  • Keras Coaches assist students in developing resumes that are relevant to current industry requirements.
  • We place a strong emphasis on the quality of our training team and lab infrastructure so that students may better grasp and practice ideas.
  • To help you improve your skills and memory, we provide regular wrap-ups of prior Placement Training seminars.

Get Certified By Keras & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

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About  Adequate Training Mentors

  • Our Keras Training Mentors are guaranteed professionals with 9+ years of experience in their respective domains and also they are currently working with Top MNCs.
  • Our trainers specialize in assisting slow learners to keep up with academic challenges.
  • All our Trainers are working with companies such as Diverse Lynx, WinfoGlobal Technologies, Titan, Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers also help the participants get jobs in their companies through the Employee Referral letter / Internal Hiring process
  • Using functional space, infrastructure, live projects, and coaching, our trainers encourage and assist young aspiring students in their journey from ideation to marketplace.
  • We also have student coordinators from various faculties who assist the center with placements.

Keras Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



I underwent Keras training in ACTE, Porur. The training session was good. My tutor Mr.Anbu have been outstanding. I liked the sessions taught by him who is an experienced faculty. Each and every topic is explained very clearly. Materials provided by him were useful. He is really good with his training and has the best content with him for the training which is really useful for a fresher like me to learn.

Dinesh Karthik


Good Institute for getting your basics right in any course, Thanks to Prabhu sir for training me for Keras has around 10+ years of experience in Keras and covers all the real time scenario's in the classes



I have enrolled for Keras course in ACTE, Chennai It is a very nice experience. Trainer is very good and talented. All the concepts are thoroughly explained by the time you don't understand. Facilities are good. There is the provision of paying fees in instalment. Hence overall it's nice to choose



It was a great learning experience in ACTE, Banglore. The entire course structure designed for its students, the teaching methodology, as well as placement assistance, is really good. ACTE helped me a lot to get my first job. Had a wonderful opportunity to learn under the guidance of dedicated faculty team headed and gain knowledge in the field of Keras . I would recommend ACTE to people who are interested to learn Keras .



Very motivational environment. Best way to teach. Really appreciate the efforts they put from there side to increase the knowledge and development of students. Thanks, ACTE

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Keras Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Keras training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Keras Course At ACTE?

  • Keras Course in ACTE is designed & conducted by Keras experts with 10+ years of experience in the Keras domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Keras batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Keras . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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