dalmia / Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
☆1,074Updated 6 years ago
Alternatives and similar repositories for Deep-Learning-Book-Chapter-Summaries:
Users that are interested in Deep-Learning-Book-Chapter-Summaries are comparing it to the libraries listed below
- Some work of Andrew Ng's course on Coursera☆699Updated 6 years ago
- After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole cou…☆1,558Updated 5 years ago
- 👉 Tensorflow 2.x resources such as tutorial, blog, code and videos☆524Updated 2 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆719Updated 5 years ago
- An evolving guide to learning Deep Learning effectively.☆715Updated 4 years ago
- Deep Learning with PyTorch, published by Packt☆457Updated 2 years ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,628Updated 4 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,783Updated 4 years ago
- Roadmap of DL and ML, some courses, study notes and paper summary☆747Updated 6 years ago
- DeepLearning.ai课程学习Jupyter Notebook作业☆580Updated 4 years ago
- ☆503Updated 6 months ago
- Notes and summaries of various ML, Computer Vision & NLP papers.☆561Updated 2 years ago
- (完结)网易云课堂微专业《深度学习工程师》听课笔记,编程作业和课后练习☆433Updated 6 years ago
- ☆273Updated 6 years ago
- 简单粗暴 TensorFlow (1.X) | A Concise Handbook of TensorFlow (1.X) | 此版本不再更新,新版见 https://tf.wiki☆850Updated 4 years ago
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course☆1,911Updated last year
- 记录Learning from data一书中的习题解答☆982Updated 5 years ago
- A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.☆1,666Updated 3 years ago
- 🔥 Reproducibly benchmarking Keras and PyTorch models☆367Updated 4 years ago
- Teaching materials for the machine learning and deep learning classes at Stanford and Cornell☆1,109Updated 4 years ago
- Implementation of algorithms introduced in CS229.☆384Updated 2 years ago
- Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition☆376Updated 2 years ago
- Seminars DeepBayes Summer School 2018☆1,046Updated 5 years ago
- A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory☆298Updated 5 years ago
- code for deep learning courses☆1,100Updated this week
- Contains my explorations of TensorFlow 2.x☆380Updated 2 years ago
- Simple tutorials for building neural networks with TensorFlow Eager mode.☆509Updated 5 years ago
- 吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course☆1,013Updated 3 years ago
- Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes☆432Updated 5 years ago
- 统计学习方法训练营课程作业及答案,视频笔记在线阅读地址:https://relph1119.github.io/statistical-learning-method-camp☆196Updated 2 years ago