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