Below you can find an ever expanding list of Machine Learning resources that I find along the way.
Books
- Deep Learning Book
- Neural Networks and Deep Learning
- Reading list for Computational Creativity from Kent
- Machine Learning for Artists
- The AI Programmers Bookshelf
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Rules of Machine Learning: Best Practices
Best practices for using ML systems in practice, a style guide for ML
Tutorials
General
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Five part tutorial series about applying Machine Learning
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Hacker’s guide to Neural Networks
Neural Networks from scratch in JavaScript
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Jupyter notebook content for my OReilly book, the Python Data Science Handbook
Tensorflow
- TensorFlow Tutorial and Examples for Beginners
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TensorFlow Tutorial - used by Nvidia
Learn TensorFlow from scratch by examples and visualizations with interactive jupyter notebooks. Learn to compete in the Kaggle leaf detection challenge!
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Camron.xyz / TensorFlow in a Nutshell
Mini TensorFlow tutorials and more (RNN, Search etc.)
Datasets
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UCI Machine Learning Repository
Extensive list of small datasets
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Research data / datasets in torrent format
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a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories.
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Dataset of scene images like Bedrooms, Kitchens, Bridges etc.
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A curated collection of labeled classical music
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Ever expanding Google Doc for neatly described datasets
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The Lakh MIDI dataset is a collection of 176,581 unique MIDI files, 45,129 of which have been matched and aligned to entries in the Million Song Dataset. Its goal is to facilitate large-scale music information retrieval, both symbolic (using the MIDI files alone) and audio content-based (using information extracted from the MIDI files as annotations for the matched audio files).
Papers
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Deep Learning Papers Reading Roadmap
Extensive list of key Deep Learning papers
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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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AI research paper explorer
Courses
- CS231n: Convolutional Neural Networks for Visual Recognition
- Phd level ML courses
- Creative Applications of Deep Learning with TensorFlow
- Open Source Deep Learning Curriculum
Podcasts
Misc resources
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This website is intended to host a variety of resources and pointers to information about Deep Learning. In these pages you will find
- a reading list,
- links to software,
- datasets,
- a list of deep learning research groups and labs,
- a list of announcements for deep learning related jobs (job listings),
- as well as tutorials and cool demos.
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Top-down learning path: Machine Learning for Software Engineers
Extensive Machine Learning resources list from GitHub user ZuzooVn
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Machine Learning Mastery Method
Neat resources and instructions on how to learn Machine Learning
- Deep Learning Reading List
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Explanation of different NN architectures
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Accessible explanations for various ML topics
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A curated list of resources dedicated to recurrent neural networks (closely related to deep learning).
- Awesome Deep Learning
Inspiration
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Collection + Code of Applied Machine Learning Projects
- Stanford Final Machine Learning Projects 2015
- Stanford Final Machine Learning Projects 2014
- Stanford Final Machine Learning Projects 2013
- Stanford Final Machine Learning Projects 2012
- LnH: An AI based heavy metal band
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Neural Networks to Upscale & Stylize Pixel Art
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Image to Image translation -> Translate BW to Color, Edges to Photo etc.
Tools
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Machine Learning tool for non-programmers
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Simple Machine Learning framework for Hackers