Module 1

SETTING UP CAFFE2

• The Course Overview
• Set Up Caffe2 on Linux
• Understanding the Caffe2 Architecture
• Transitioning from Machine Learning to Deep Learning
• Running an Image Classifier Using Caffe2

IMPLEMENTING NEURAL NETWORKS AND DEEP LEARNING

• Learn about Matrices Using Python – NumPy
• Understanding and Implementing Logistic Regression and Neural Networks
• Understanding and Implementing Deep Neural Networks

UNDERSTANDING CAFFE2

• Caffe2 Introduction
• Caffe2 Python Wrapper
• Mathematical Operators in Caffe2
• Network Creators and Assisters in Caffe2 – Part 1
• Network Creators and Assisters in Caffe2 – Part 2
• Network Creators and Assisters in Caffe2 – Part 3

UNDERSTANDING A CONVOLUTIONAL NEURAL NETWORK

• How Machines Learn to See!
• Introduction to Convolutional Neural Networks
• Implement a Convolution Layer Using Caffe2
• Pooling Layer and Dropout in Caffe2
• Role of Activation Functions in Solving Non-Linear Optimization

IMPLEMENTING WEIGHT INITIALIZATION, OPTIMIZATION, AND REGULARIZATION

• Machine Learning Strategy
• How to Perform Data Selection, Preparation, and Processing
• Regularization of Neural Networks
• Optimizing Neural Networks
• Optimization Algorithms

INTRODUCTION TO RECURRENT NEURAL NETWORK

• Sequence Learning
• Introduction to Recurrent Neural Networks
• LSTMs – A Special Case of RNNs
• Learning about Word Embeddings
• Introduction to Augmented Recurrent Neural Networks

Module 2

GETTING STARTED WITH CAFFE2

• The Course Overview
• Why Deep Learning?
• Machine Learning Categories
• Why Caffe2?
• Install and Set Up Caffe2
• Build a Caffe2 Docker

BASIC ELEMENTS

• Definition of a Computational Graph Through Examples
• Introduce Workspace, Operators, and Nets
• Working with Computational Graphs

BUILDING BLOCKS OF A TRAINING MODEL

• Housing Price Prediction
• Representing a Linear Regression Model in a Computational Graph
• Training Procedure
• Training a Linear Regression Model

SUPERVISED LEARNING AND TRANSFER LEARNING

• Fashion Product Recognition Problem
• What Is Supervised Learning?
• What Is Transfer Learning?
• Model Zoo in Caffe2
• Fine-Tune a Model for Recognizing Fashion Products

SEQUENCE-TO-SEQUENCE LEARNING

• Chatbot Customer Service
• What Is Sequence-to-Sequence Learning?
• What Are RNNs and LSTMs?
• Training an RNN-Based Model to Write like Shakespeare

REINFORCEMENT LEARNING

• Why Deep Reinforcement Learning?
• What Is Deep Reinforcement Learning?
• What Is Deep Q-Network?
• Training a Deep Q- Network for Solving the Cart-Pole Problem

RUNNING AI IN YOUR HANDS

• AI on Mobile Devices Using Face ID
• Challenges in Running AI Models on Mobile Devices
• SequeezeNet
• Deploy SequeezeNet on a Mobile Device

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