关注公众号:【咕泡AI 】回复暗号:666 领取视频课件资料,还有500G最新人工智能学习大礼包等你来领取哦 还可领取一份500G人工智能学习资料礼包(内含:两大Pytorch、TensorFlow实战框架视频、图像识别、OpenCV、计算机视觉、深度学习与神经网络等等等等视频、代码、PPT以及深度学习书籍 !你想要的里面都有!) 源码、资料、文档...
https://selfdrivingcars.mit.edu/ MIT近期又开放了一门更偏概述的深度学习课程——6.S191: Introduction to Deep Learning(深度学习入门),官方介绍该课程为一门对深度学习算法和应用的入门课程(An introductory course on deep learning algorithms and their applications)。 目前,在官网上,所有的课程信息、录像和...
Deep learning 是Goodfellow 等人写的一本介绍深度学习的书,详见:http://www.deeplearningbook.org/ 参考文献: 【1】@book{Goodfellow-et-al-2016, title={Deep Learning}, author={Ian Goodfellow and Yoshua Bengio and Aaron Courville}, publisher={MIT Press}, note={\url{http://www.deeplearningbook.or...
deep learning 英文原版 作者: Ian Goodfellow Yoshua Bengio Aaron Courville,深度学习必看书籍 上传者:sanchui0814时间:2017-11-07 Deep Learning BOOK(Bengio\Deep Learning Methods 中文书) 两本中文版深度学习经典书籍:Deep Learning BOOK(Bengio)中文,Deep Learning Methods 中文书 ...
作者:Lex Fridman 转载自:https://www.youtube.com/watch?v=-6INDaLcuJY&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf 【 MIT 6.S094 自动驾驶公开课 】 自动驾驶中的深度学习Deep Learning for Self-Driving Cars(合辑)(英文字幕)微博:宫帅USTC
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville - janishar/mit-deep-learning-book-pdf
From http://www.deeplearningbook.org/ An MIT Press book Ian Goodfellow, Yoshua Bengio and Aaron Courville The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the...
"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject."--Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand...
learning and influenced our understanding of human perception, it has revolutionized application areas such as speech recognition and image understanding.Pylearn2is a machine learning and deep learning library. A live online resourcehttp://www.deeplearning.net/book/guidelinesallows practitioners and ...
Interpretable Deep Learning(可解释的深度学习) Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning(生成模型、对抗性网络 GAN、变分自动编码器 VAE、表示学习) Regulatory Genomics - Deep Learning in Life Sciences(调节基因组学) Deep Learning for Regulatory Genomic...