Course Overview

Become job-ready by mastering all the core essentials of TensorFlow framework and developing deep neural networks. This training also provides two real-time projects to sharpen your skills and knowledge, and clear the TensorFlow Certification Exam. Enroll now and get certified.

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Course Coverage

Course Includes

Live Training

30 Hours of Sessions

Lab Sessions

20 Hours of Labs

Flexible Schedule

Flexible Schedules

FREE Demo on Request

FREE Demo on Request

24/7 Lifetime Support

24/7 Lifetime Support

One-on-One Doubt Clearing Sessions

One-on-One Doubt Clearing

Certification Assistance

Certification Oriented Curriculum

Two Real-time Project Use cases

Real-time Project Use cases

Course Content

You will be exposed to the complete TensorFlow Trainingcourse details in the below sections.

Introduction To Deep Learning

Deep Learning: A revolution in Artificial Intelligence
Limitations of Machine Learning
Discuss the idea behind Deep Learning
Advantage of Deep Learning over Machine learning
3 Reasons to go Deep
Real-Life use cases of Deep Learning
Scenarios where Deep Learning is applicable

The Math behind Machine Learning: Linear Algebra

Scalars
Vectors
Matrices
Tensors
Hyperplanes

The Math Behind Machine Learning: Statistics

Probability
Conditional Probabilities
Posterior Probability
Distributions
Samples vs Population
Resampling Methods
Selection Bias
Likelihood

Review of Machine Learning Algorithms

Regression
Classification
Clustering

Reinforcement Learning
Underfitting and Overfitting
Optimization
Convex Optimization

Fundamentals Of Neural Networks

Defining Neural Networks
The Biological Neuron
The Perceptron
Multi-Layer Feed-Forward Networks
Training Neural Networks
Backpropagation Learning
Gradient Descent
Stochastic Gradient Descent
Quasi-Newton Optimization Methods
Generative vs Discriminative Models

Activation Functions

Linear
Sigmoid
Tanh
Hard Tanh
Softmax
Rectified Linear

Loss Functions
Loss Function Notation
Loss Functions for Regression
Loss Functions for Classification
Loss Functions for Reconstruction
Hyperparameters
Learning Rate
Regularization
Momentum
Sparsity

Fundamentals Of Deep Networks

Defining Deep Learning
Defining Deep Networks
Common Architectural Principals of Deep Networks
Reinforcement Learning application in Deep Networks
Parameters
Layers
Activation Functions – Sigmoid, Tanh, ReLU
Loss Functions
Optimization Algorithms
Hyperparameters
Summary

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Projects

Our TensorFlow Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

    Industry Statistics

    Jobs/month

    861

    Avg salary

    $100,122

    Training Options

    Choose your own comfortable learning experience.

    Self-Paced

    30 hrs of E-Learning Videos

    self-paced


    View detail

    • 30 sessions of complete course
    • Learn technology at your own pace
    • Get lifetime access for the videos
    • Latest version curriculum covered
    • 24x7 learner assistance
    • Post sales support by our community
    • Includes practical-oriented session

    Live Online

    30 hrs of Remote Classes in Zoom/Google meet

    online

    Batch

    Start - End

    Time

    Weekdays

    Sep 22 - Oct 07

    07:30 PM EST

    Weekend

    Sep 25 - Oct 10

    08:00 PM EST

    Weekdays

    Sep 27 - Oct 12

    07:30 PM EST

    Weekend

    Oct 09 - Oct 24

    08:00 PM EST


    • + Includes Self-Paced

    View More Features

    • Live demonstration of features and practicals.
    • Schedule your sessions at your comfortable timings.
    • Instructor led training with practical lab sessions.
    • Real time projects and certification guidance.

    Timings doesn't suit you ?Let us know

    For Corporates

    Be ready with the skills before the industry adopts the technology.

    Corporate Training

    • Choose mode that best suits your convenience, time, and budget from Self-Paced, Live Instructor-led Online, or Classroom modes
    • Engage in complete practical demonstration, discussions,and exercises based on practical use cases
    • Have a schedule that is convenient as per your work schedule and time zone
    • Gain industry insights during the training delivered by insdustry experts
    • Customize the course scope as per your project requirements
    • Gain complete guidance on obtaining a certification

    Contact us

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    capgemini
    deloitte
    intel
    novartis
    pwc
    techdata
    visa
    tata_power

    Show the world that you have pursued one of the best in the industry.

    Certification Details

    Shall I appear for TensorFlow certification exam after completion of TensorFlow course?

    Our TensorFlow course covers all the topics that are required to clear TensorFlow certification. Trainer will shareTensorFlow certification guide, TensorFlow certification sample questions, TensorFlow certification practice questions.

    MindMajix certificate

    Course Reviews

    (5)

    characterInstructor possesses good command on the topics. Takes measures to make sure student is understanding the concepts.

    (4)

    characterI had gone through the tensorflow course. As a working professional, it was a good experience for me to undergo the training.

    (5)

    character

    Learnt AI & Deep Learning with TensorFlow at Mindmajix. It was good learning experience. Trainer was excellent. Every concept was clearly understood. Overall, it was a good experience with Mindamajix.

    Job Assistance program

    Your intent to master next level skills are appreciated

    We take pride in being part of 4 lakh plus career transitions worldwide

    Post Training - Access to Premium Features

    Career Counseling Sessions

    Once you know the skills, we recommended you understand the eligible job roles, scope, and opportunities.

    Mock Interviews

    Explore what the real-time interviews expect from you.

    Custom Resume Builder Access

    We got a resume builder to help you prepare the best resume to win the first impression for recruiters.

    Privileged Community Support

    We make sure to address any real-time challenges our alumni face during their careers through our community platform.

    Life-Time Self-Paced Videos Access

    Applicable for Live-Online learning mode. Provides a set of self-paced videos to recap the subject whenever/wherever you need.

    Quizzes To Scale

    Get access to our Quiz from the LMS to scale your knowledge.

    TensorFlow Training Objectives

    Course Objectives

    Upon completion of this course, you will be able to:

    • Understand TensorFlow concepts, functions, operations and the execution pipeline.
    • Understand neural networks, deep learning algorithms, and data abstraction layers.
    • Master advanced topics including convolutional neural networks, deep neural networks, recurrent neural networks, and high-level interfaces.
    • Learn how to build deep learning models in TensorFlow and interpret the results
    • Understand the fundamental concepts of artificial neural networks

    Why should you learn TensorFlow to grow your career?

    • TensorFlow could be a game-changer in the future of Artificial Intelligence - Google
    • Our training helps you get on the deep-learning bandwagon and acquire the highest paid and best suitable jobs in the market.

    Who should learn TensorFlow?

    The following job roles will get benefited from this training:

    • Data scientists
    • Software engineers
    • Data analysts
    • Statisticians with interest in deep learning

    What are the prerequisites for the TensorFlow course?

    Prerequisites for this course include basic programming knowledge and fundamentals of Mathematics and Statistics.

    What will you learn in this TensorFlow training?

    From this course, you will:

    • Learn the concepts of Google TensorFlow
    • Understand Supervised and unsupervised learning
    • Understand Backpropagation in neural networks
    • Learn about convolutional neural networks
    • Understand image recognition and natural language processing.
    e-Learning experience

    9+

    e-Learning experience

    Trainers experience

    10+

    Trainers experience

    Global corporates

    110+

    Global corporates

    Professionals trained

    460,000+

    Professionals trained

    IT Courses

    500+

    IT Courses

    1/5

    TensorFlow Training FAQs

    Do I get any discount on the course?

    Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

    Do Mindmajix accepts the course fees in installments?

    Yes, we accept payments in two installments.

    How Mindmajix’s Refund Policy works?

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.

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