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These projects were analysed and named Tensorflow-Tutorial among their alternatives. The relationship is not symmetric — how Tensorflow-Tutorial rates them is a separate judgement, made when Tensorflow-Tutorial is analysed in its own right.
calls Tensorflow-Tutorial “choose it for basic TensorFlow tutorials instead of PyTorch paper implementations.”
🧑🏫 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-Tutorial “Choose for TensorFlow tutorial series instead of NumPy from scratch.”
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-Tutorial “Choose it if you prefer the same author's teaching style but want TensorFlow instead of PyTorch.”
Build your neural network easy and fast, 莫烦Python中文教学
calls Tensorflow-Tutorial “Choose for a very old Chinese TensorFlow tutorial, but it is TF1 and unmaintained.”
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
calls Tensorflow-Tutorial “Old TensorFlow tutorial, narrower and outdated.”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-Tutorial “Old TensorFlow Chinese tutorial, far behind current practice and not a comprehensive DL theory source.”
《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-Tutorial “Use for Chinese-language legacy TensorFlow v1 tutorial code when learning older codebases.”
:satellite: Simple and ready-to-use tutorials for TensorFlow
calls Tensorflow-Tutorial “When you want a Chinese-language TensorFlow tutorial series, but it's very old (5.8 years since last push).”
A collection of machine learning examples and tutorials.
calls Tensorflow-Tutorial “Choose when you want legacy Chinese TensorFlow 1.x tutorials rather than MIT's current labs.”
Lab Materials for MIT 6.S191: Introduction to Deep Learning