TensorFlow Training

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TensorFlow 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.
30 hours of Instructor Led TensorFlow Training
Lifetime Access to Recorded Sessions
Real World use cases and Scenarios
Practical Approach
24/7 Support
Expert & Certified Trainers

TensorFlow 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
  • 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 Course Curriculum

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

Introduction to RNN Model
Application use cases of RNN
Modelling sequences
Training RNNs with Backpropagation
Long Short-Term memory (LSTM)
Recursive Neural Tensor Network Theory
Recurrent Neural Network Model

Restricted Boltzmann Machine
Applications of RBM
Collaborative Filtering with RBM
Introduction to Autoencoders
Autoencoders applications
Understanding Autoencoders
Variational Autoencoders
Deep Belief Network

Mindmajix offers advanced TensorFlow interview questions and answers along with TensorFlow  resume samples. Take a free sample practice test before appearing in the certification to improve your chances of scoring high.

Have any queries regarding course curriculum, speak to our course advisor

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Our Course in Comparison

  • Features
  • Setup Demos at your Convenient Time
  • 1-1 Training
  • Batch Start Dates
  • Customize Course Content
  • LifeLong Access to LMS
  • 24*7 Support
  • EMI Option
  • Group Discounts
  • Mindmajix TensorFlow Training online
  • At your Convenience
  • Other Virtual Live Classes
  • Fixed

TensorFlow Certification !

Upon successful completion of the program, you will be awarded a Certificate from Mindmajix for TensorFlow Training.

Complete Your Course

Successfully complete your course and let the community know about your achievement.

Become Certified

Get your Course Completion certificate from Mindmajix.

Apply for Jobs

Don’t just show off your achievement to the community, use it to advance in your career.

The cost of TensorFlow Certification Exam is 99 USD.

  • Yes, definitely. Certifications can be very valuable as most leading companies hire employees based on the expertise they gain
  • TensorFlow certification assesses the candidate's skills and expertise with the knowledge that industry demands. 
  • Having a TensorFlow Certification gives recognition in the job market and opens numerous opportunities for career growth.
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, TensorFlow certification dumps.

TensorFlow Upcoming Batches

  • Weekday

    Jun 27 (2 hrs a day)

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Gear up your skills with real-life industry-based TensorFlow projects !

Work on real time TensorFlow projects - The primary goal of this project work is to to gear up the skill set required and amplify individual competencies, experience, exposure which align with the current job market to addresses real world business challenges.

Most effective training
Helps you to learn all critical skills required
Opportunity to work on live projects with real life scenarios
Extensive hands-on practice

FAQ's!

Have questions? We’ve got the answers. Get the details on how you can grow in this 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.

Yes, we will discuss with our instructor and will schedule according to the time convenient to you.

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.

We will take care of providing you with all that is required to get placed in a reputed MNC and also forward your resume to the companies we tie-up with. Starting from providing the in-depth course material to explanation of the real-time scenarios and preparing your resumes, we will make you gain expertise so that you can get a job.

We assist you completely in acquiring certification. We ensure you will get certified easily after our training.

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.

Our trainer explains every topic along with real-time scenarios. In the last one or two sessions, the trainer will explain one end-to-end project to showcase the real time working environment.

Have More Questions. Reach our Support Team

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More About TensorFlow Online Training

  • As deep learning is one of the fastest growing sectors in the IT industry, it is currently in boom all around the world. Therefore, the demand for TensorFlow professionals is increasing significantly.
  • The salary for the experts in this field is relatively higher when compared to other areas. 
  • The average salary of a TensorFlow professional is $142,880 per annum- Payscale.com

The major career paths available for TensorFlow professionals are listed below:

  • Research Analyst
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Software Developer
  • Research Scientist
  • Natural Language Process Engineer

The companies welcoming TensorFlow practitioners are listed below: 

  • Google
  • eBay
  • Intel
  • MI
  • Twitter
  • Coca-Cola
  • Lenovo
  • Uber
  • Dropbox

Have any queries regarding TensorFlow course, speak to our course advisor

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