Best TensorFlow Training in Bangalore

Our Training program enables you to gain knowledge on TensorFlow Training. Our industry expert trainers will guide you through the fundamentals of TensorFlow Training. All these skills will prepare you to pass the TensorFlow Training certification exams.

Course Duration 30 hrs
LMS Access 365 Days
Training Format Live Online / Self-Paced / Classroom
Live Projects 02

The Instructor for this course is from one of the Big5 Companies in the world.

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Modes of Training

Corporate Training

Live, Classroom Or Self Paced Training

Online Classroom

Attend our Instructor Led Online Virtual Classroom

Self Paced Training

Comprehensive Recorded Videos by Experts to learn at your own pace

TensorFlow Training Course Content

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 

TensorFlow Training FAQ

Yes, we offer self paced training

We offer three different modes of training. Instructor Led Live Training, Self Paced Training and Corporate Training

Yes we offer discounts for group of 3 plus people.

Yes we are the only company where we work with students and offer flexible timings which fits your schedule

All our instructors are from MNC companies who have real time experience of more than 10 years.

Yes we offer a free demo session with the instructors. The trainer will answer all your queries and share the course agenda.

TensorFlow Training Course Schedule

Here are the TensorFlow Training Classes in Bangalore Schedules. Let us know if this schedule doesn't match your requirements. We will try to arrange a demo based on your interest.

  • Weekend Batches (2hrs/Perday)
  • 15-02-2020 (Saturday & Sunday) 07:00 AM (IST) Enroll Now
  • 29-02-2020 (Saturday & Sunday) 07:00 AM (IST) Enroll Now
  • Weekday Batches (1hr/Perday)
  • 13-02-2020 (Monday - Friday) 07:00 AM (IST) Enroll Now
  • 20-02-2020 (Monday - Friday) 07:00 AM (IST) Enroll Now