Table of Content
Setting Up Caffe2
- 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
Getting Started with Caffe2
- 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
Apply for certification
https://www.vskills.in/certification/data-science/deep-learning-with-caffe2-online-course