Key Features

30 Hrs Instructor Led Training
Certification & Job Assistance
20 hrs of Lab Sessions
Pay in 2 Installments
Flexible Schedule
24 x 7 Lifetime Support

TensorFlow Course Content

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

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

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

What is TensorFlow?
Use of TensorFlow in Deep Learning
Working of TensorFlow
How to install Tensorflow
HelloWorld with TensorFlow
Running a Machine learning algorithms on TensorFlow

Introduction to CNNs
CNNs Application
Architecture of a CNN
Convolution and Pooling layers in a CNN
Understanding and Visualizing a CNN
Transfer Learning and Fine-tuning Convolutional Neural Networks

+ 3 more lessons

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 concepts.
  • These projects are completely in-line with the modules mentioned in the curriculum.

Choose the training that’s best for you

Self-Paced E-Learning
  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality TensorFlow videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample TensorFlow training videos before signing up.
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Preferred
Live Online Training
  • Live demonstration of features and practicals.
  • Get LMS access of each TensorFlow Online training session that you attend through GotoMeeting.
  • Gain guidance on certification.
  • Attend a Free Demo before signing up.

Next Demo Sessions

06 Dec, 2020 (Weekday)
09 Dec, 2020 (Fast Track)
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Corporate Training
For Business
  • Self-Paced/Live Online/Classroom modes of training available.
  • Engage in TensorFlow Classroom Training lecture by an industry expert at your facility.
  • Learn as per full day schedule with discussions,exercises and practical use cases.
  • Design your own course content based on your project requirements.
  • Gain complete guidance on certification.
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TensorFlow Training Online - Upcoming Events

  • Weekday

    06 Dec, 2020 - 05 Jan, 2021

    08:30 PM EST
  • Fast Track

    09 Dec, 2020 - 24 Dec, 2020

    08:30 PM EST
  • Weekend

    12 Dec, 2020 - 16 Jan, 2021

    08:30 AM EST
  • Weekday

    13 Dec, 2020 - 12 Jan, 2021

    08:30 PM EST
  • Fast Track

    16 Dec, 2020 - 31 Dec, 2020

    08:30 PM EST
  • Weekend

    19 Dec, 2020 - 23 Jan, 2021

    08:30 AM EST
  • Timings Doesn't Suit You ?

    We can set up a batch at your Convenient time.

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    TensorFlow Online Training 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
    • 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.

    The following job roles will get benefited from this training:

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

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

    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 Certification

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

    Our Course in Comparison

    Features

    • Demos at Convenient Time?
    • 1-1 Training
    • Batch Start Dates
    • Customize Course Content
    • EMI Option
    • Mock Interviews after Training
    • Group Discounts

    Mindmajix

    • At your Convenience

    Others

    • Fixed

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    TensorFlow Certification Training Course - FAQ's

    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.

    The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.

    The trainer is a certified consultant and has significant amount of experience in working with the technology.

    Yes, we accept payments in two installments.

    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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