Suggested resources for Getting started with Neural Networks and Deep Learning (AI)

Pathway for Getting Started with AI and Deep Learning

fast.ai releases new deep learning course, four libraries, and 600-page book

We're releasing Practical Deep Learning for Coders (2020), fastai v2, fastcore, fastscript, and fastgpu.

deeplearning.ai - COURSE

Whether you want to build algorithms or build a company, deeplearning.ai’s courses will teach you key concepts and applications of AI.

Keras: The Python Deep Learning library

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a ...

Django vs Flask vs Pyramid: Choosing a Python Web Framework

Pyramid, Django, and Flask are all excellent frameworks, and choosing just one for a project is hard. We'll see working apps with identical functio...

Deep Learning Book - MIT

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learni...

RNN vs CNN at a high level - machine learning - Data Science Stack Exchange

I've been thinking about the Recurrent Neural Networks (RNN) and their varieties and Convolutional Neural Networks (CNN) and their varieties. Wo...

Pollock AI - example of Deep Learning

Analyze Images with the power of AI. Pollock AI was built as a first test in creating "analytical, creative artifical intelligence". Currently, i...

AI Playbook - from A16Z

Artificial Intelligence (AI) is a set of computer science techniques that, as Stanford professor Andrew Ng is fond of saying, gives your software s...

Practical Deep Learning for Coders, v3 | fast.ai course v3

Looking for the older 2018 courses?: This site covers the new 2019 deep learning course. The 2018 courses have been moved to: course18.fast.ai. Not...