Course Content and Syllabus for Deep Learning Training in Noida

 

Module 1 – Introduction to TensorFlow

  1. HelloWorld with TensorFlow
  2. Linear Regression
  3. Nonlinear Regression
  4. Logistic Regression
  5. Activation Functions

Module 2 – Convolutional Neural Networks (CNN)

  1. CNN History
  2. Understanding CNNs
  3. CNN Application

Module 3 – Recurrent Neural Networks (RNN)

  1. Intro to RNN Model
  2. Long Short-Term memory (LSTM)
  3. Recursive Neural Tensor Network Theory
  4. Recurrent Neural Network Model

Module 4 - Unsupervised Learning

  1. Applications of Unsupervised Learning
  2. Restricted Boltzmann Machine
  3. Collaborative Filtering with RBM

Module 5 - Autoencoders

  1. Introduction to Autoencoders and Applications
  2. Autoencoders
  3. Deep Belief Network
 
 

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