Deep Learning for Visual Recognition using TensorFlow

Part 1

Deep Learning Overview
Logistic Regression and Multi-layered Perceptron
Optimization and Regularization
Restricted Boltzmann Machine and Deep Belief Network
Auto-encoders

Part 2

Overview of Convolutional Neural Network
Modern Convolutional Neural Network Architectures
State of the Art CNN Architectures for Classification
CNN Architectures for Object Localization and Detection

Part 3

Review of Convolutional Neural Network
Google Cloud APIs Hands On
Convolutional Neural Networks for Semantic Segmentaion
Weakly Supervised Learning for Object Localization
Generative Adversarial Networks