Deep Learning with TensorFlow by IBM

Course Syllabus

Module 1 – Introduction to TensorFlow

HelloWorld with TensorFlow

Linear Regression

Nonlinear Regression

Logistic Regression

Activation Functions

Module 2 – Convolutional Neural Networks (CNN)

CNN History

Understanding CNNs

CNN Application

Module 3 – Recurrent Neural Networks (RNN)

Intro to RNN Model

Long Short-Term memory (LSTM)

Recursive Neural Tensor Network Theory

Recurrent Neural Network Model

Module 4 - Unsupervised Learning

Applications of Unsupervised Learning

Restricted Boltzmann Machine

Collaborative Filtering with RBM

###Module 5 - Autoencoders

Introduction to Autoencoders and Applications

Autoencoders

Deep Belief Network

Certificate

Certificate