Use for an active, MIT-lab-style structured TensorFlow/Keras deep learning course with exercises.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
- 8.8k
- Jupyter Notebook
- MIT
deep learning / TensorFlow tutorials
A collection of simple, ready-to-use Jupyter notebook tutorials for deep learning with TensorFlow.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Use for an active, MIT-lab-style structured TensorFlow/Keras deep learning course with exercises.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Use for a comprehensive, modern deep learning book built on fastai/PyTorch rather than raw TensorFlow.
The fastai book, published as Jupyter Notebooks
Use for a Chinese-language deep learning course with lecture-aligned notebooks, mostly in PyTorch.
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Use for a beginner-friendly PyTorch tutorial series if you prefer PyTorch over TensorFlow.
Build your neural network easy and fast, 莫烦Python中文教学
Use for an advanced academic PyTorch deep learning course with both theory and practice.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Use for a compact, example-focused TensorFlow reference (v1 and v2) instead of a full course, though unmaintained.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Use for Chinese-language legacy TensorFlow v1 tutorial code when learning older codebases.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Use for a practical, recipe-style TensorFlow cookbook covering many tasks, though unmaintained.
Code for Tensorflow Machine Learning Cookbook
Use for classic TensorFlow tutorials with video explanations, if you want legacy TF content.
TensorFlow Tutorials with YouTube Videos
These projects were analysed and named TensorFlow-Course among their alternatives. The relationship is not symmetric — how TensorFlow-Course rates them is a separate judgement, made when TensorFlow-Course is analysed in its own right.
calls TensorFlow-Course “choose it for ready-to-run TensorFlow tutorials aimed at beginners.”
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
calls TensorFlow-Course “Choose for ready-to-use TensorFlow tutorials instead of raw NumPy.”
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
calls TensorFlow-Course “Choose it for a ready-to-use TensorFlow course if you are not committed to PyTorch.”
Build your neural network easy and fast, 莫烦Python中文教学
calls TensorFlow-Course “Choose for simple TensorFlow tutorials if you specifically need TF1-style code, but it is outdated.”
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
calls TensorFlow-Course “Old TensorFlow-specific tutorials, narrower and outdated.”
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
calls TensorFlow-Course “Aged TensorFlow tutorial series, now outdated and not a general deep-learning reference.”
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
calls TensorFlow-Course “When you want simple TensorFlow tutorials from an older course, good for beginners but stale.”
A collection of machine learning examples and tutorials.
calls TensorFlow-Course “Choose when you want simple ready-to-use TensorFlow tutorials, though they are older and not a full DL course.”
Lab Materials for MIT 6.S191: Introduction to Deep Learning
calls TensorFlow-Course “Older TF1-era TensorFlow tutorial collection; choose for legacy TensorFlow examples.”
TensorFlow tutorials and best practices.
calls TensorFlow-Course “Older ready-to-use TensorFlow tutorials; useful if you specifically want a TF tutorial archive.”
All course materials for the Zero to Mastery Machine Learning and Data Science course.