Deep Learning for Resources

This page provides introductory deep-learning resources 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 External resource
• A summary of resources External resource
• Book Dive into Deep Learning

MATLAB Resources

MATLAB provides many useful examples and learning 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