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.

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

To test your knowledge on TensorFlow Training, you will be required to work on two industry-based projects that discuss significant real-time use cases. This will also ensure hands-on expertise in TensorFlow Training and Certification Course concepts

    career info

    Avg. Salary for TensorFlow Developer: $100,122 PA. TensorFlow has a market share of about 1.3%. Used by top industries across various business Verticals. Ex: Biogen Idec, Intel, Pfizer.

    For Individuals

    Choose your own comfortable learning experience.

    Self Paced Training

    • Complete set of live-online training sessions recorded videos.
    • Learn technology at your own pace.
    • Get access for lifetime.
    • Latest version videos guaranteed.

    1. Introduction To Deep Learning

    2. Fundamentals Of Neural Networks



    Live Virtual Training

    • 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.

    Includes everything in Self-paced training

    Live Training
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    Upcoming Batches

    Duration: 30 hrs

    Batch

    Start - End

    Time

    Weekend

    May 22 - Jun 06

    07:30 PM EST

    Weekdays

    May 24 - Jun 08

    07:30 PM EST

    Weekend

    May 29 - Jun 13

    07:30 PM EST

    Weekdays

    May 31 - Jun 15

    07:30 PM EST


    For Business

    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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    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

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

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    Happy Customers

    Your intent to master next level skills are appreciated and

    we help to achieve career transitions

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    Mock Interviews

    Mock interviews help you in understanding your strengths and areas you need to focus on improving to clear interviews.

    Resume Building

    A good resume creates positive intent on the profile. We will guide you to prepare an impressive resume with essential elements.

    Job Assistance

    80% of the job market is hidden and we will help deserving candidates in finding the right opportunities.

    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.

    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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