dalmia / Deep-Learning-Book-Chapter-SummariesLinks
Attempting to make the Deep Learning Book easier to understand.
☆1,079Updated 7 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
Sorting:
- An evolving guide to learning Deep Learning effectively.☆717Updated 5 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…☆1,573Updated 6 years ago
- Some work of Andrew Ng's course on Coursera☆714Updated 7 years ago
- Roadmap of DL and ML, some courses, study notes and paper summary☆757Updated 7 years ago
- Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes☆429Updated 6 years ago
- Seminars DeepBayes Summer School 2018☆1,047Updated 6 years ago
- Code, exercises and tutorials of my personal blog ! 📝☆791Updated 5 years ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,642Updated 5 years ago
- Notes and summaries of various ML, Computer Vision & NLP papers.☆565Updated 3 years ago
- Implementation of algorithms introduced in CS229.☆391Updated 3 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆723Updated 6 years ago
- A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.☆1,676Updated 4 years ago
- 👉 Tensorflow 2.x resources such as tutorial, blog, code and videos☆525Updated 3 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☆445Updated 7 years ago
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course☆1,918Updated 2 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☆1,035Updated 4 years ago
- Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition☆385Updated 3 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☆844Updated 5 years ago
- Explaining the Math of how neural networks learn☆379Updated 6 years ago
- Stanford CS229 (Autumn 2017)☆373Updated 8 years ago
- Translation of <Machine Learning Yearning> by Andrew NG☆1,336Updated 2 years ago
- DeepLearning.ai课程学习Jupyter Notebook作业☆593Updated 5 years ago
- Machine learning algorithms implemented by pure numpy☆1,088Updated 2 years ago
- 记录Learning from data一书中的习题解答☆1,003Updated 6 years ago
- Quiz & Assignment of Coursera☆921Updated 5 years ago
- To know stats by heart☆286Updated 6 years ago
- 【不定期更新】收集整理的一些网站中(如知乎、Quora、Reddit、Stack Exchange等)与深度学习、机器学习、强化学习、数据科学相关的有价值的问题☆328Updated 6 years ago
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,342Updated last year
- Deep Learning with PyTorch, published by Packt☆465Updated last month
- 深度学习面试问题 回答对应的DeepLearning中文版页码☆879Updated 8 years ago