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Deep Learning: Recurrent Neural Networks in Python Certification Online Training

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Our Deep Learning with Recurrent Neural Networks in Python Training offers a hands-on experience for professionals looking to specialize in building and deploying RNNs with Python.

This course covers key topics such as RNN fundamentals, advanced architectures like LSTM and GRU, and using Python libraries like TensorFlow and Keras to build and train models. You’ll gain practical experience applying RNNs to challenges like time series forecasting, natural language processing (NLP).

  • Get Unrestricted Interview Opportunities with Prominent MNCs
  • Gain Practical Experience with Real-World Deep Learning Projects
  • Join in Python Training for Recurrent Neural Networks in Deep Learning
  • Connect with Over 350+ Hiring Clients and 13,898+ Successful Graduates
  • Affordable, Industry-Recognized Curriculum with 100% Placement Assistance
  • Master Recurrent Neural Networks and advance your career in deep learning today!
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  • Case Studies and Projects 8+

  • Hours of Training 45+

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Succeed Our Resourceful Deep Learning: Recurrent Neural Networks in Python Online Training

  • Recurrent neural networks learn from data sequences such as text, stock prices, or audio for music creation.
  • The Deep Learning: Recurrent Neural Networks in Python online certification is a fascinating course taught by a dynamic educator.
  • In this tutorial, you'll learn how to use TensorFlow to create and train recurrent neural networks, then use them to generate text word by word.
  • Rather than lecturing on abstract principles, the instances are well-chosen, demonstrating fundamentals through engaging, creative initiatives.
  • Matrix multiplication, basic probability, python coding, Numpy coding, matrix and vector operations, and loading a CSV file are all covered in this course.
  • In ACTE, The course Deep Learning: Recurrent Neural Networks in Python will teach you everything you need to know about Hidden Markov Models and Recurrent Neural Networks.
  • First, you'll learn about the Elman-unit, a simple recurrent unit, before moving on to feedforward neural networks and language modelling, one of the most prominent applications.
  • Classroom Batch Training
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  • Online Training
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Upcoming Batches

05-May-2025
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(Class 1Hr - 1:30Hrs) / Per Session

07-May-2025
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(Class 1Hr - 1:30Hrs) / Per Session

10-May-2025
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11-May-2025
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    Job Oriented Topics Covered in Deep Learning: Recurrent Neural Networks in Python Training Certification

    Course Objectives

    • People who want to take their data-driven communication to the next level.
    • People are interested in learning RNNs with real-world datasets in Data Science.
    • People who want to use RNNs in real-world projects.
    • Individuals who are interested in numbers and programming.
    • Recurrent Neural Networks (RNNs), a type of neural network, play an important role in processing sequences such as sensor measurements, daily stock prices, and so on.
    • In fact, without Recurrent Neural Networks, most sequence modeling problems on images and videos remain difficult to solve.
    • Furthermore, RNNs are regarded as the most general type of deep learning architecture.
    • As a result, understanding RNNs is critical in all fields of Data Science.
    • This course addresses all of these concerns and equips you to advance your career by mastering the theoretical concepts and practical implementations of RNNs in Data Science.
    • It is critical to understand recurrent neural networks because they have numerous applications in computer programming.
    • Deep learning and artificial intelligence, in particular, can be used to generate predictive results that can be used to solve scientific and business problems ranging from identifying new drug compounds to building sales forecasts.
    • Recurrent neural networks can be used to identify emotions in tweets, analyze business data, and create statistics.
    • Recurrent neural networks can help you manage data problems like natural language processing, data error correction, missing entry handling, and extracting information from small data sets.
    • Because technology has a lot of power, people who know how to use it properly are in high demand.
    • There is no prerequisite knowledge required.
    • We will begin with the fundamentals and gradually expand our knowledge of the subject.
    • A willingness to learn and practice new skills.
    • Python knowledge will be advantageous.
    • It is beneficial to have a basic understanding of computers and programming before beginning to learn about recurrent neural networks.
    • Even at the beginner level, some courses assume you know the fundamentals of Python.
    • Some courses provide a general introduction to artificial intelligence and machine learning, including recurrent neural networks concepts, without requiring programming or computing skills.
    You will gain the following abilities:
    • Artificial Neural Networks.
    • TensorFlow's program elements and setup.
    • Libraries for Deep Learning.
    • Object Detection API for Tensorflow.
    • Frameworks for Deep Learning.
    • Keras.
    • PyTorch.
    • Recurrent Neural Network Types.
    You can do the following with these sought-after certification opportunities:
    • In the field of artificial intelligence, there is a significant skill shortage.
    • Engineers who specialize in deep learning and machine learning are in high demand.
    • With the rapid advancement of AI, there is an increasing demand for skilled deep learning professionals.
    • Foresightful tech titans such as Amazon, Facebook, and Google are investing heavily in developing their AI capabilities.
    • This translates into a plethora of job opportunities for professionals with strong learning abilities all over the world.

    List out the topics covered in the Deep Learning: Recurrent Neural Networks in Python?

    The following topics will be covered in the course:
    • What exactly is a Neural Network?
    • A well-known neural network.
    • What is the purpose of a Recurrent Neural Network?
    • What exactly is a Recurrent Neural Network?
    • How does a Recurrent Neural Network function?
    • Long Short Term Memory (LSTM) Use case LSTM implementation.

    What exactly is a recurrent neural network (RNN) Online Certification?

    • A recurrent neural network is a type of computer network that uses logic to conclude.
    • It is intended to mimic the human brain's thought process.
    • Recurrent neural networks can classify data to generate sequences, time series, and predictions.
    • They are used in artificial intelligence and machine learning.

    What jobs will I be prepared for as a result of this program in Deep Learning: Recurrent Neural Networks in Python?

    • This program is designed to help you improve your deep learning skills.
    • As such, it does not prepare you for a specific job but rather broadens your skills in the domain of deep learning.
    • These abilities can be applied to a variety of situations and will also qualify you for further studies in the field.
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    Overview of Deep Learning: Recurrent Neural Networks in Python Certification Online Training

    ACTE Recurrent Neural Networks in Python Training course. Deep Learning Recurrent Neural Networks in Python Training will teach you all you need to know about Hidden Markov Models and Recurrent Neural Networks. You will first be exposed to the Elman unit, a simple recurrent unit, before moving on to feedforward neural networks and one of the most prominent applications, language modeling.

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    Key Features

    ACTE offers Deep Learning: Recurrent Neural Networks in Python 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 .

    Curriculum

    Syllabus of Deep Learning: Recurrent Neural Networks in Python Certification Online Training
    Module 1 : Introduction
    • Introduction to AI Sciences
    • Focus of the Course
    Module 2 : Applications of RNN
    • Human Activity Recognition
    • Image Captioning
    • Machine Translation
    • Speech Recognition
    • Stock Price Predictions
    • When to Model RNN
    Module 3 : Deep Neural Network (DNN) Overview
    • Introduction to Deep Learning Module
    • Neuron and Perception
    • DNN Architecture
    • FeedForward FullyConnected MLP
    • Calculating Number of Weights of DNN
    • Number of Neurons Versus Number of Layers
    • Discriminative Versus Generative Learning
    • Universal Approximation Theorem
    • Why Depth
    • Decision Boundary in DNN
    • Bias Term
    • Activation Function
    • DNN Training Parameters
    • Gradient Descent
    • Backpropagation
    • Training DNN Animation
    • Weight Initialization
    • Batch MiniBatch Stocastic
    • Batch Normalization
    • Rprop Momentum
    • Convergence Animation
    • DropOut EarlyStopping Hyperparameters
    Module 4 : RNN Architecture
    • Introduction
    • Fixed Length Memory Model
    • Infinite Memory Architecture
    • Weight Sharing
    • Notations
    • Many-To-Many Model
    • Many-To-One Model
    • One-To-Many Model
    • Many-To-Many Different Sizes Model
    • Models Summary
    • Deep RNNs
    Module 5 : Gradient Descent in RNN
    • Example Setup
    • Equations
    • Loss Function
    • Why Gradients
    • Chain Rule
    • Chain Rule in Action
    • Backpropagation Through Time
    Module 6 : Vanishing Gradients in RNN
    • Introduction to a Better RNN Module
    • Introduction to Vanishing Gradients in RNN
    • Gated Recurrent Unit (GRU)
    • Gated Recurrent Unit (GRU) Equations
    • Long Short Term Memory (LSTM)
    • Long Short Term Memory (LSTM) Equations
    • Bidirectional Recurrent Neural Networks
    • Attention Model
    • Attention Model Equation
    Module 7 : TensorFlow
    • TensorFlow Text Classification Example using RNNs
    Module 8 : Project 1: Book Writer
    • Data Mapping
    • Modelling RNN Architecture
    • Modelling RNN Model in TensorFlow
    • Modelling RNN Model Training
    • Modelling RNN Model Text Generation
    Module 9 : Project 2: Stock Price Prediction
    • Problem Statement
    • Dataset
    • Data Preparation
    • RNN Model Training and Evaluation
    Module 10 : Further Reading and Resources
    • Further Reading and Resources
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    Need customized curriculum?

    Hands-on Real Time Deep Learning: Recurrent Neural Networks in Python Projects

    Project 1
    Natural Language Processing Project

    It explains how humans and computers communicate. Many people use it on a daily basis, and it's been around for a long time, but it's often overlooked.

    Project 2
    Speech Recognition Project

    The ability of a machine or programme to recognise words spoken aloud and turn them into legible text is known as voice recognition or speech-to-text.

    Our Top Hiring Partner for Placements

      ACTE offers placement opportunities as an add-on to every student / professional who completed our classroom or Online Deep Learning: Recurrent Neural Networks in Python Certification Online Training. Some of our students are working in these companies listed below.
    • ACTE makes it simple to find the best Recurrent Neural Networks in Python Classes in your region by providing over 250+ professional Training institutes from all over .
    • Anyone may use ACTE Placement to connect with top job trainers, learn about their qualifications, read former student evaluations, get free estimates, and rapidly plan your course itinerary and timings.
    • Recurrent Neural Networks in Python Subject Matter Experts designed the placement to assist you to discover Recurrent Neural Networks in Python foundations and gain hands-on experience with Recurrent Neural Networks in Python deployment and operations.
    • We provide hands-on Placement Training to Recurrent Neural Networks in Python novice and intermediate cooks to help them face real-world corporate challenges.
    • ACTE provides over 45 Training programs with complete placement support.

    Get Certified By Deep Learning: Recurrent Neural Networks in Python & 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.

    Get Certified

    About Experienced Deep Learning: Recurrent Neural Networks in Python Trainer

    • ACTE Recurrent Neural Networks in Python Training Trainers have over 7 years of Data Analytics expertise and have worked with some of the most famous companies in Bangalore.
    • Our Trainers assess the Beginner's current level of expertise and develop goals based on that information.
    • Our Institute has received several awards, including Best Online Training (National/Regional), Best Corporate Training Program (National/Regional), and others.
    • The Instructor assesses the progress of the beginners and advises them on areas where they might improve.
    • Because they are constantly checking various timetables, ACTE Recurrent Neural Networks in Python Tutors have great organizing abilities and are trustworthy in all areas.
    • Throughout the Course, our Instructor may be required to support Learners in attaining the primary Specialist issue area.

    Deep Learning: Recurrent Neural Networks in Python Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 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
    • The entire Deep Learning: Recurrent Neural Networks in Python 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: Recurrent Neural Networks in Python Course At ACTE?

    • Deep Learning: Recurrent Neural Networks in Python Course in ACTE is designed & conducted by Deep Learning: Recurrent Neural Networks in Python experts with 10+ years of experience in the Deep Learning: Recurrent Neural Networks in Python 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 project experience, job support, and lifetime resources.
    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: Recurrent Neural Networks in Python batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Deep Learning: Recurrent Neural Networks in Python . 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 76691 00251 / 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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