Machine Learning and Deep Learning for Beginners

This paper summarizes resources for machine learning and deep learning for beginners.

Overview

Machine Learning

• Python Machine Learning Tutorial, Scikit-Learn
• Training Support Vector Machines for Multiclass Classification

Deep Learning Tutorials

• How to Configure the Learning Rate When Training Deep Learning Neural Networks

Convolutional Neural Networks (CNN)

What is Convolutional Neural Networks (CNN)

• A Comprehensive Guide to Convolutional Neural Networks
• Matlab, Explanation of Different Layers of Convolutional Neural Networks

CNN Examples

• Building a Convolutional Neural Network (CNN) in Keras
• Your First Deep Learning Project in Python with Keras Step-By-Step
• How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition

Common CNN Architecture

• Illustrated: 10 CNN Architectures: LeNet-5, AlexNet, VGG-16, Inception-v1, Inception-v3, ResNet-50, Xception, Inception-v4, Inception-ResNets, ResNeXt-50

AlexNet

• Understanding AlexNet
• Implementing AlexNet CNN Architecture Using TensorFlow 2.0+ and Keras

Few Shot Learning

• An Introduction to Few-Shot Learning
• Understanding Few-Shot Learning in Computer Vision – What You Need to Know

Development Tool

Python

I strongly recommend installing Anaconda Distribution.

Keras

• Getting started with the Keras Sequential model
• Simple MNIST convnet

Matlab

• Matlab, Convolutional Neural Networks
• Matlab, Training a Model from Scratch

Code Snippet

• Check the installed packages

  conda list
  

• Install a particular tensorflow version using conda

  conda install -c conda-forge tensorflow=1.13
  

Online Resources

• CS231n: Convolutional Neural Networks for Visual Recognition at Stanford University link
• A summary of resources link
• Book Dive into Deep Learning