learning_resources.md

Deep Learning and Machine Learning Resources

A list of various Learning reasources that can be relevant to project work at Cogito.
Use the resources you that are related to what you want to learn and that fit your learning style the best.
You do not need to go through everything.

Click on the Section you want to jump to

• Recommended
• Lectures
• Selected Papers Realted to Super Resolution
• Video Tutorials
• Written Tutorials
• Awesome Lists
• Frameworks and Libraies
• MOOCs
• GitHub Student Developer Pack
• Deep Learning Book
• Code Examples
• Visualization
• IDE/Code_Editor Tutorials

Recommended

• Fashion mnist Example from Tensorflow
• Keras API Reference
• Keras Developer Guides
• Deep Learning Fundamentals
• Super-Resolution Example

Lectures

Lectures series that give a good introduction to Machine Learning and Deep Learning

• Stanford CS229: Machine Learning
• DeepMind x UCL
• MIT 6.S191: Introduction to Deep Learning

Selected Papers Related to Super Resolution

• How to Read Academic Papers
• Image Super-Resolution via Iterative Refinment
• Image Super-Resolution via Deep Recursive Network
• Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Networks
• Accurate Image Super-Resolution Using Very Deep Convelutional Networks

Video Tutorials

Git

• Git in 100 Seconds
• Learn Git in 15 Minutes
• Git and GitHub Crash Course
• Git for Profesionals

Python

• Python in 100 Seconds
• Introduction to Python
• Intermediate Python
• 25 Nooby Python You Need to Ditch
• 10 Tips & Tricks
• 5 Common Mistakes in Python
• if name == 'main':

Keras/Tensorflow

• Deep Leaning Fundamentals
• Deep Learning with Keras

Neural Networks

• Neural Networks from Scratch

Machine Learning

• Practical Machine Learing

Math

• Essence of Calculus
• Essence of Linear Algebra
• Neural Networks and Deep Learing

Written Tutorials

Git Tutorials

• Git tutorial by Git
• W3Schools Git
• Git Tutorial by Atlassian
• GitHub SSH Connection
• GitHub Tutorial

Keras/tensorflow

• Intorduction to Deep Learning with Keras
• Autoencoder Tutorial
• Tutorials by Tensorflow
• Intro to Keras for Engineers
• Guides by Keras

Machine Learning

• Introduction to Machine Learning
• Learn ML Resources by Tensorflow

Python

• Introduction to Python
• Intermediate Python
• What is pip?
• W3Schools Python

Awesome lists

List of Lists

• List of Awesome Lists

Lists

• Awesome Python
• Awesome Deep Learning
• Awesome Artificial Inteligence
• Dive Into Machine Learning
• Awesome Data Science
• Awesome Math
• Papers We Love
• Free Programming Books
• Awesome Public Datasets

Documentation

Official documentation for libraries and tools we will use

• OpenCV
• Tesorflow
• Keras
• Official Git Documentation
• GitHub Documentation

MOOCs

Massive Open Online Courses

• MIT 6.S191: Introduction to Deep Learning
• Stanford CS229: Machine Learning
• Fast.ai

GitHub Student Developer Pack

• Free resources for students such as a free JetBrains IDE professional License (Intelij, PyCharm etc.)
  • Github Student Developer Pack

Book

Neural Networks and Deep Learning is a free online book.
The book will teach you about: Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data Deep learning, a powerful set of techniques for learning in neural networks

• Neural Networs and Deep Learning

Code Examples

Official code examples from Keras covering common use cases and opperations

• Code Examples from Keras
• Super-Resolution Example

Visualization

Get an intuitive sense of what a neural network does

• Tensorflow Playground

IDE/Code_Editor Tutorials

How to Use VScode and PyCharm from developing effetivly in Python

• VSCode for Python
• PyCharm

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Created by JonRodtang