vaibhawvipul / First-steps-towards-Deep-Learning
This is an open sourced book on deep learning.
☆435Updated last year
Related projects ⓘ
Alternatives and complementary repositories for First-steps-towards-Deep-Learning
- A repo of curated links to Math lectures by Prof. Richard Feynman☆637Updated last year
- The best resources around Machine Learning☆349Updated 2 years ago
- Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book☆297Updated 4 years ago
- A curated collection of free Deep Learning related eBooks☆73Updated 6 years ago
- Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)☆206Updated 5 years ago
- This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube☆483Updated 5 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆263Updated 5 years ago
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆199Updated last year
- NLP in Python with Deep Learning☆570Updated 9 months ago
- This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube☆1,060Updated 4 years ago
- Learn to Build a Machine Learning Application from Top Articles☆114Updated 6 years ago
- A simple neural network for python autocompletion☆824Updated 4 years ago
- Explaining the Math of how neural networks learn☆374Updated 4 years ago
- This is the code for 'Build an AI Startup with Pytorch" by Siraj Raval☆220Updated 5 years ago
- Attempting to make the Deep Learning Book easier to understand.☆1,068Updated 6 years ago
- ☆341Updated 4 years ago
- Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in t…☆273Updated 4 months ago
- Share some useful guides and references about how to shift AI models to real world products or projects.☆627Updated 4 years ago
- This is the companion curriculum to my guide to becoming a data scientist.☆398Updated 5 months ago
- 👉 Tensorflow 2.x resources such as tutorial, blog, code and videos☆525Updated last year
- Curated lists of fastai resources: blog posts, twitter threads etc.☆144Updated 4 years ago
- List of DL topics and resources essential for cracking interviews☆443Updated last year
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆329Updated last year
- My personal notes on Machine Learning☆141Updated 4 years ago
- This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube☆99Updated 6 years ago
- Mathematics paper recapitulating the calculus behind a neural network and its back propagation☆131Updated 4 years ago
- List of resources & possible pathway for the Math of Machine Learning and AI.☆405Updated 2 years ago
- A set of jupyter notebooks on pytorch functions with examples☆157Updated 4 years ago