humphd / have-fun-with-machine-learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
☆5,074Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for have-fun-with-machine-learning
- ☆2,196Updated last week
- TensorFlow tutorials and best practices.☆8,623Updated 4 years ago
- Simple and ready-to-use tutorials for TensorFlow☆4,523Updated 3 years ago
- Bare bone examples of machine learning in TensorFlow☆2,425Updated 7 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,453Updated last year
- Deep learning library featuring a higher-level API for TensorFlow.☆9,618Updated 6 months ago
- Neural Network to colorize grayscale images☆3,563Updated 4 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,733Updated last year
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,202Updated 2 weeks ago
- A list of popular github projects related to deep learning☆5,887Updated 8 months ago
- Learning to Learn in TensorFlow☆4,063Updated 3 years ago
- Instructions for setting up the software on your deep learning machine☆1,980Updated 6 years ago
- Computer Science Cheatsheets.☆1,601Updated 3 years ago
- From the basics to slightly more interesting applications of Tensorflow☆5,641Updated 2 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,946Updated 8 years ago
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.☆4,755Updated last year
- A list of history's greatest software engineers and tech pioneers☆2,478Updated 3 years ago
- Simple tutorials using Google's TensorFlow Framework☆6,005Updated last year
- A complete daily plan for studying to become a machine learning engineer.☆28,149Updated 4 months ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,194Updated 4 years ago
- Image super-resolution through deep learning☆5,298Updated 7 years ago
- Various ipython notebooks☆1,545Updated 6 years ago
- An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)☆3,862Updated 5 years ago
- Caffe2 is a lightweight, modular, and scalable deep learning framework.☆8,419Updated last year
- Deep learning tutorials (2nd ed.)☆1,521Updated 8 years ago
- Explore how machine learning works, live in the browser. No coding required.☆3,849Updated 3 years ago
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,273Updated 2 years ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,385Updated 5 years ago