深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
The fastai deep learning library, plus lessons and tutorials
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
PyTorch Tutorial for Deep Learning Researchers
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.
Deep Learning Book Chinese Translation
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）
The most cited deep learning papers
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Deep Learning for humans
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A curated list of awesome Deep Learning tutorials, projects and communities.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
Caffe: a fast open framework for deep learning.
Code samples for my book "Neural Networks and Deep Learning"
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks ...
An updated deep learning introduction using Python, TensorFlow, and Keras. Text-tutorial and notes: ...
Flat 20% Off on Machine Learning Training with Python: https://www.edureka.co/python ** This Edureka Machine Learning tutorial (Machine Learning Tutorial ...
MIT Introduction to Deep Learning 6.S191: Lecture 1 Foundations of Deep Learning Lecturer: Alexander Amini January 2018 Lecture 1 - Introduction to Deep ...
A friendly introduction to neural networks and deep learning. This is a follow up to the Introduction to Machine Learning video.
From helping farmers in Japan sort cucumbers to helping doctors in India diagnose eye disease, machine learning is changing the way people -- inside and ...
More info at: http://www.nvidia.com/deep-learning Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite ...
Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series will bring you up to speed on this fast-growing field – without any of ...
Machine learning is the automation of discovery, and it is responsible for making our smartphones work, helping Netflix suggest movies for us to watch, and ...