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Deep Learning Course with TensorFlow Online Training

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  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Deep Learning Course with TensorFlow and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • AI Engineering Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: Essential Programming, Essential basics of Linear Algebra, Selected topics of Machine Learning, Basics of Neural Network, Introduction to Convolutional Neural Network, Different Layers in CNN pipeline, Transfer Learning, Object Detection and Localization, Autoencoders, Time Series Modelling, GANs, Model Free Approaches in Reinforcement Learning, Behavioral Cloning and Deep Q Learning, Deep Learning in Action.
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About Deep Learning Course with TensorFlow Online Training Course

ACTE Online Training courses are designed and led by industry experts with more than a decade of experience in data science and Deep Learning Course with TensorFlow. Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.

Benefits:

Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network.

Most Job Oriented Deep Learning Course with TensorFlow Online Topics Covered

  • LTSM Basics

    Linear Regression With Tensorflow

    Activation Functions

  • Deep Neural Networks

    Convolutional Networks

    MNIST Data Classification

  • Training RBMs

    Autoencoders

    The RNN Model

Careers in Deep Learnings offers organizations another arrangement of systems to take care of complex explanatory issues and drive quick developments in counterfeit consciousness. By encouraging a deep learning calculation with huge volumes of information, models can be prepared to perform complex undertakings like discourse and picture examination. Deep Learning’s models are approximately identified with data preparing and correspondence designs in an organic sensory system, for example, neural coding that endeavours to characterize a connection between different data and related neuronal reactions in the brain.

Deep Learning (DL) has a big scope in future and the biggest reason for it is that DL doesn't require any kind of feature engineering. Deep Learning extracts the features from the data itself instead of us giving it the features after extracting it from the data.

Here are some places to meet other people interested in deep learning:

  • You should see if your city has a machine learning or deep learning group on a site like Meetup.com. Most major cities have something going on.
  • There are several online communities devoted to deep learning and deriving insights from data.

Deep Learning Future Trends in a Nutshell.

Some of the primary trends that are moving deep learning into the future are: Current growth of DL research and industry applications demonstrate its “ubiquitous” presence in every facet of AI — be it NLP or computer vision applications.

Tensorflow is the most popular and apparently best Deep Learning Framework out there. ... Machine Learning has enabled us to build complex applications with great accuracy. Whether it has to do with images, videos, text or even audio, Machine Learning can solve problems from a wide range.

The prerequisites for really understanding deep learning are linear algebra, calculus and statistics, as well as programming and some machine learning. The prerequisites for applying it are just learning how to deploy a model.

Deep learning is a subset of machine learning so technically machine learning is required for machine learning. However, it is not necessary for you to learn the machine learning algorithms that are not a part of machine learning in order to learn deep learning.

Each of the steps should take about 4–6 weeks' time. And in about 26 weeks since the time you started, and if you followed all of the above religiously, you will have a solid foundation in deep learning.

TensorFlow isn't the easiest of languages, and people are often discouraged with the steep learning curve. There are other languages that are easier and worth learning as well like PyTorch and Keras. ... It's helpful to learn the different architectures and types of neural networks so you know how they can be used.

Deep learning can in no way mimic human intelligence. ... A model should “learn” from its environment and become better in time. Deep learning models require an insane amount of data: Almost everyone reading this will most probably know the amount of data it takes to train a deep model.

Machine learning is a field of study that applies the principles of computer science and statistics to create statistical models, which are used for future predictions (based on past data or Big Data) and identifying (discovering) patterns in data.

Top reasons to consider a career in Deep Learning Course with TensorFlow ?

Here are some of the top reasons to consider learning TensorFlow.

  • One of the most preferred frameworks.
  • Build a strong foundation of deep learning.
  • Get a chance to work on ML-powered projects.
  • Better salary prospects.
  • Better job opportunities.

Deep Learning Course with TensorFlow Biggest Strengths

No Need for Feature Engineering

  • Deep Learning Course with TensorFlow is largely responsible for today’s growth in the use of AI. The technology has given computers extraordinary powers, such as the ability to recognize speech almost as good as a human being, a skill too tricky to code by hand.
  • Deep Learning Course with TensorFlow has also transformed computer vision and dramatically improved machine translation. It is now being used to guide and enhance all sorts of key processes in medicine, finance, marketing—and beyond.
  • Feature engineering is the process of extracting features from raw data to better describe the underlying problem. It is a fundamental job in machine learning as it improves model accuracy. The process can sometimes require domain knowledge about a given problem.
  • To better understand feature engineering, consider the following example.
  • In the real estate business, the location of a house has a significant impact on the selling price. Suppose the location is given as the latitude and the longitude. Alone these two numbers are not of any use but put together they represent a location. The act of combining the latitude and the longitude to make one feature is feature engineering.
  • One of Deep Learning Course with TensorFlow ’s main advantages over other machine learning algorithms is its capacity to execute feature engineering on it own. A Deep Learning Course with TensorFlow algorithm will scan the data to search for features that correlate and combine them to enable faster learning without being explicitly told to do so.
  • This ability means that data scientists can sometimes save months of work. Besides, the neural networks that a Deep Learning Course with TensorFlow algorithm is made of can uncover new, more complex features that human can miss.

Best Results with Unstructured Data

  • According to research from Gartner, up to 80% of a company’s data is unstructured because most of it exists in different formats such as texts, pictures, pdf files and more. Unstructured data is hard to analyze for most machine learning algorithms, which means it’s also going unutilized. That is where Deep Learning Course with TensorFlow can help.
  • Deep Learning Course with TensorFlow algorithms can be trained using different data formats, and still derive insights that are relevant to the purpose of its training. For example, a Deep Learning Course with TensorFlow algorithm can uncover any existing relations between pictures, social media chatter, industry analysis, weather forecast and more to predict future stock prices of a given company.

No Need for Labeling of Data

  • Getting good-quality training data is one of the biggest problems in machine learning because data labeling can be a tedious and expensive job.
  • Sometimes, the data labeling process is simple but time-consuming. For example, labeling photos “dog” or “muffin” is an easy task, but an algorithm needs thousands of pictures to tell the difference. Other times, data labeling may require the judgments of highly skilled industry experts, and that is why, for some industries, getting high-quality training data can be very expensive.

Let’s look at the example of Microsoft’s project InnerEye, a tool that uses computer vision to analyze radiological images. To make correct, autonomous decisions, the algorithm requires thousands of well-annotated images where different physical anomalies of the human body are clearly labeled. Such work needs to be done by a radiologist with experience and a trained eye. According to Glassdoor, an average base salary for a radiologist is $290.000 a year, which puts the hourly rate just short of $200. Given that around 4-5 images can be analyzed per hours, proper labeling of all images will be expensive.

  • With Deep Learning Course with TensorFlow , the need for well-labeled data is made obsolete as Deep Learning Course with TensorFlow algorithms excel at learning without guidelines. Other forms of machine learning are not nearly as successful with this type of learning. In the example above, a Deep Learning Course with TensorFlow algorithm would be able to detect physical anomalies of the human body, even at earlier stages than human doctors.

Efficient at Delivering High-quality Results

  • Humans need rest and fuel. They get tired or hungry and make careless mistakes. That is not the case for neural networks. Once trained correctly, a Deep Learning Course with TensorFlow brain can perform thousands of repetitive, routine tasks within a shorter period of time than it would take a human being.
  • The quality of its work never diminishes, unless the training data includes raw data that does not represent the problem you are trying to solve.
  • Deep Learning Course with TensorFlow algorithms are applied to customer data in CRM systems, social media and other online data to better segment clients, predict churn and detect fraud. The financial industry is relying more and more on Deep Learning Course with TensorFlow to deliver stock price predictions and execute trades at the right time. In the healthcare industry Deep Learning Course with TensorFlow networks are exploring the possibility of repurposing known and tested drugs for use against new diseases to shorten the time before the drugs are made available to the general public.

    • Some of the job profiles for certified DL professionals are:

    • Data Scientist
    • DL Analyst
    • DL Associate
    • Deep Learning Course with TensorFlow R&D Engineer
    • Deep Learning Course with TensorFlow Software Engineer 
    • Deep Learning Course with TensorFlow Analyst/Consultant

    Governmental institutions are also turning to Deep Learning Course with TensorFlow for help to get real-time insights into metric like food production and energy infrastructure by analyzing satellite imagery.

  • The list can go on, but one thing is clear: given the use cases and enthusiasm for Deep Learning Course with TensorFlow , we can expect large investments to be made to further perfect this technology, and more and more of the current challenges to be solved in the future.
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Key Features

ACTE offers Deep Learning Course with TensorFlow 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.
 

Curriculum

Syllabus of Deep Learning Course with TensorFlow Online Training Course
Module 1: 1. Essential Programming
  • 1. Introduction to Deep Learning
  • 2. Introduction to Numpy
  • 3. Introduction to Tensorflow and Keras
Module 2: Essential basics of Linear Algebra
  • 1. Solution of Equations, row and column Interpretation
  • 2. Vector Space Properties
  • 3. Partial Derivative of Polynomial and Two conditions for Local Minima
  • 4. Physical Interpretation of gradient (Direction of Maximum Change)
  • 5. Matrix Vector Multiplication
  • 6. EVD and interpretation of Eighen Vectors
  • 7. Linear Independence and Rank of Matrix
  • 8. Orthonormal Matrices, Projection Matrices, Vandemonde Matrix, Markov Matrix, Symmetric, Block Diagonal
Module 3: Selected topics of Machine Learning
  • 1. Intuition behind Linear Regression, classification
  • 2. Grid Search
  • 3. Gradient Descent
  • 4. Training Pipeline
  • 5. Metrics ROC Curve, Precision Recall Curve
  • 6. Calculating Entropy
Module 4: Basics of Neural Network
  • 1. Evolution of Perceptrons, Hebbs Principle, Cat Experiment
  • 2. Single layer NN
  • 3. Tensorflow Code
  • 4. Multilayer NN
  • 5. Back propagation, Dynamic Programming
  • 6. Mathematical Take on NN
  • 7. Function Approximator
  • 8. Link with Linear Regression
  • 9. Dropout and Activation
  • 10. Optimizers and Loss Functions
Module 5: Introduction to Convolutional Neural Network
  • 1. 1D and 2D Convolution
  • 2. Why CNN for Images and speech?
  • 3. Convolution Layer
  • 4. Coding Convolution Layer
  • 5. Learning Sharpening using single convolution Layer in Tensor-Flow
Module 6: Different Layers in CNN pipeline
  • 1. Convolution
  • 2. Pooling
  • 3. Activation
  • 4. Dropout
  • 5. Batch Normalization
  • 6.Object Classification
  • 7. Creating Batch in Tensorflow and Normalize
  • 8. Training MNIST and CIFAR datasets
  • 9. Understanding a pre-trained Inception Architecture
  • 10. Input Augmentation Techniques for Images
Module 7: Transfer Learning
  • 1. Finetuning last layers of CNN Model
  • 2. Selecting appropriate Loss
  • 3. Adding a new class in the last Layer
  • 4. Making a model Fully Convolutional for Deployment
  • 5. Finetune Imagenet for Cats vs Dog Classification.
Module 8: Object Detection and Localization
  • 1. Different types of problem in Objects
  • 2. Difficulties in Object Detection and Localization
  • 3. Fast RCNN
  • 4. Faster RCNN
  • 5. YOLO v1-v3
  • 6. SSD
  • 7. MobileNet
Module 9: Autoencoders
  • 1. Image Compression Simple Autoencoder
  • 2. Denoising Autoencoder
  • 3. Variational Autoencoder and Reparematrization Trick
  • 4. Robust Word Embedding using Variational Autoencoder
Module 10: Time Series Modelling
  • 1. Evolution of Recurrent Structures
  • 2. LSTM, RNN, GRU, Bi-RNN, Time-Dense
  • 3. Learning a Sine Wave using RNN in Tensorflow
  • 4. Creating Autocomplete for Harry Potter in Tensorflow
Module 11: GANs
  • 1. Generative vs Discrimative Models
  • 2. Theory of GAN
  • 3. Simple Distribution Generator in Tensorflow using MCMC (Markov Chain Monte Carlo)
  • 4. DCGAN,WGANs for Images
  • 5. InfoGANs, CycleGANs and Progressive GANs
  • 6. Creating a GAN for generating Manga Art
Module 12: Model Free Approaches in Reinforcement Learning
  • 1. Model Free Prediction
  • 2. Monte Carlo Prediction and TD Learning
  • 3. Model Free Control with REINFORCE and SARSA Learning
  • 4. Assignment : Implementation of REINFORCE and SARSA Learning in Gridworld
  • 5. Off policy vs On Policy Learning
  • 6. Importance Sampling for Off Policy Learning
  • 7. Q Learning
Module 13: Behavioral Cloning and Deep Q Learning
  • 1. Understanding Deep Learning as Function Approximator
  • 2. Theory of Behavioral Cloning and Deep Q Learning
  • 3. Revisiting Point Collector Example in Unity and
  • 4. Assignment : Training Cartpole Example via Deep Q Learning
Module 14: Deep Learning in Action
  • 1. Face Detection using Yolo-v3
  • 2. Building Autocomplete Feature using RNNs
  • 3. Real-time Depth Prediction and Pose Estimation
  • 4. How is Deep Learning used in Autonomous Driver Assistant systems
  • 5. Tips and Tricks for scaling and easy Deployment of Deep Learning Models
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Hands-on Real Time Deep Learning Course with TensorFlow Projects

Project 1
PUBG Players Finishing Placement Prediction

Create a model that predicts players’ finishing placement based on their final stats, on a scale of 1 (first place) to 0 (last place).

Project 2
Lending Club Loan Data Analysis

Create a model that predicts whether a loan will go into default using the historical data.

Our Top Hiring Partner for Placements

ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Deep Learning Course with TensorFlow training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Deep Learning Course with TensorFlow Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By Oracle & 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.

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About Experienced Deep Learning Course with TensorFlow Trainer

  • Our Deep Learning Course with TensorFlow Training . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Deep Learning Course with TensorFlow domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Deep Learning Course with TensorFlow training to the students.
  • We have received various prestigious awards for Deep Learning Course with TensorFlow Training from recognized IT organizations.

Deep Learning Course with TensorFlow 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.

Varalakshmi

Student

Real time scenarios are explained along with hand full of assignments. Explanation of the topics are done very clearly and in easy manner so that the person without any background knowledge will also be able to follow up on the topics of Deep Learning Course with TensorFlow Personal attention is payed to each and every student. Fun loving and friendly environment at class as they are not over crowded in ACTE Omr

Daniyal

Software Engineer

Joined Deep Learning Training in ACTE. They charged me for this training. This training is for 3 months. All facilities are available here. The trainers are good and experienced. I am satisfied with their good service and training.

Joseph

Software Engineer

The course structure here covers almost all the latest technologies and statistical techniques. The best part about the Artificial Intelligence course is the hands-on experience that you get after each lecture from a mentor. There is a team of awesome data scientists who help you in applying the knowledge gained during the lectures to solve real-world problems. I believe this is the only institute in Tambaram providing quality and latest concepts for Data Science & Artificial Intelligence Thanks, ACTE

Jeevitha

This is best Training institute for Deep Learning Course with TensorFlow for Fresher and they provide placement to each and every student. I have done my course in ACTE and finally got placed in good company.Thanks to all the ACTE Team members and faculities.!

Sharon

Student

ACTE is one of the best institutes for Artificial Intelligence as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning / Data Science/ Artificial Intelligence course I would highly recommend this institute

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Deep Learning Course with TensorFlow Course FAQs

Looking for better Discount Price?

Call now: +9193833 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
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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 Deep Learning Course with TensorFlow 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 Deep Learning Course with TensorFlow Course At ACTE?

  • Deep Learning Course with TensorFlow Course in ACTE is designed & conducted by Deep Learning Course with TensorFlow experts with 10+ years of experience in the Deep Learning Course with TensorFlow 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 Deep Learning Course with TensorFlow batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Deep Learning Course with TensorFlow . 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 93833 99991 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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