learning pdf machine-learning good mit deep-learning neural-network book machine linear-algebra neural-networks deeplearning print excercises lecture-notes chapter clear thinking printable Updated Oct 9, 2023 Java dragen1860 / Deep-Learning-with-TensorFlow-book Star 13.2k Code Issues Pull requests...
Lecture notes on Bayesian deep learning . Contribute to sjchoi86/bayes-nn development by creating an account on GitHub.
github.com/maddin79/darch.. create deep architectures in the r programming language deeplearning4j.org.. commercial-grade deep-learning library written in java keras.io.. theano-based deep learning library deeplearning.net/software/theano.. gpu based model training and automatic code optimization in...
课程的作业其实是不公开的,但是2018年的版本Youtube有课程视频,Github上也有课程作业分享,所以我推荐看2018年的Lecture Notes和作业。 An introduction to Statistical Learning 大名鼎鼎的ESL(Elements of Statistical Learning, Data mining)的简化版,又称ISL。 选择这本书主要是因为CS229 18 年的课没有讲Tree相关的...
https://github.com/yandexdataschool... Lecture notes by Andrew Ng:http://cs229.stanford.edu/notes/cs2... https://medium.com/emergent-future/... Books Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto:http://webdocs.cs.ualberta.ca/~sutt... ...
* [《Machine Learning for Humans》](https://github.com/marcotcr/mlforhumans) 介绍:(文本)机器学习可视化分析工具. * [《A Plethora of Tools for Machine Learning》](http://knowm.org/machine-learning-tools-an-overview/) 介绍:机器学习工具包/库的综述/比较. ...
介绍:100 Best GitHub: Deep Learning 《UFLDL-斯坦福大学Andrew Ng教授“Deep Learning”教程》 介绍:本教程将阐述无监督特征学习和深度学习的主要观点。通过学习,你也将实现多个功能学习/深度学习算法,能看到它们为你工作,并学习如何应用/适应这些想法到新问题上。本教程假定机器学习的基本知识(特别是熟悉的监督学习,...
最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online BooksDeep Learning66 by Yoshua Bengio, Ian Goodfellow and Aaron CourvilleNeural Networks and Deep Learning42 by M…
DragoNN:https://kundajelab.github.io/dragonn/tutorials.html Kaggle machine learning competitions:https://www.kaggle.com/sudalairajkumar/winning-solutions-of-kaggle-competitions Keras:https://keras.io/ Keras model zoos:https://keras.io/applications/ ...
Physics-based Deep Learning(2021)N. Thuerey, P. Holl,etc.github resources深度学习与物理学的联系。比如基于物理的损失函数,可微流体模拟,逆问题的求解,Navier-Stokes方程的前向模拟,Controlling Burgers’ Equation和强化学习的关系等。 Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges(Mich...