Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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Updated
Jan 3, 2024 - Jupyter Notebook
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
A resource for learning about Machine learning & Deep Learning
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Lab Materials for MIT 6.S191: Introduction to Deep Learning
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
TensorFlow documentation
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
A best practice for tensorflow project template architecture.
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
TensorFlow Tutorials
YoloV3 Implemented in Tensorflow 2.0
Bare bone examples of machine learning in TensorFlow
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Collection of google colaboratory notebooks for fast and easy experiments
Created by Google Brain Team
Released November 9, 2015