Deep Learning for Resources

This paper summarizes resources for deep learning for beginners.

Code Examples

TensorFlow + Keras

• Getting started with the Keras Sequential model
• Simple MNIST convnet
• Your First Deep Learning Project in Python with Keras Step-By-Step
• Keras Code examples
• How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition
• Implementing AlexNet CNN Architecture Using TensorFlow 2.0+ and Keras
• Building Autoencoders in Keras

Matlab

• Matlab, Training a Model from Scratch

Online Resources

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

Matlab Resources

Matlab has provided lots of useful resources.

• Set Up Parameters and Train Convolutional Neural Network
• Deep Learning Tips and Tricks
• Data Sets for Deep Learning
• Matlab, Explanation of Different Layers of Convolutional Neural Networks

Development Tool

Python

• Anaconda Distribution

Code Snippet

• Check the installed packages

  conda list
  

• Install a particular tensorflow version using conda

  conda install -c conda-forge tensorflow=1.13