第一周:深度学习引言(Introduction to Deep Learning) 1.1 欢迎(Welcome) 1.2 什么是神经网络?(What is a Neural Network) 1.3 神经网络的监督学习(Supervised Learning with Neural Networks) 1.4 为什么深度学习会兴起?(Why is Deep Learning taking off?) 1.5 关于这门课(About this Course) 1.6 课程资源(Cour...
#以上三个库都是python自带的标准库 # Third-party libraries import numpy as np ### Define the quadratic and cross-entropy cost functions#定义了叉成本函数 class QuadraticCost(object): @staticmethod def fn(a, y): """Return the cost associated with an output ``a`` and desired output ``y``...
http://neuralnetworksanddeeplearning.com/ 目录· ··· Neural Networks and Deep Learning What this book is about On the exercises and problems Using neural nets to recognize handwritten digits How the backpropagation algorithm works Improving the way neural networks learn ··...
神经网络和深度学习 (Neural Network & Deep Learning) 深度学习其实就是有更多隐层的神经网络,可以学习到更复杂的特征。得益于数据量的急剧增多和计算能力的提升,神经网络重新得到了人们的关注。 1. 符号说明 2. 激活函数 为什么神经网络需要激活函数呢?如果没有激活函数,可以推导出神经网络的输出y是关于输入x的线...
《Neural Networks and Deep Learning》(1) 感知机 感知器在 20 世纪五、六⼗年代由科学家Frank Rosenblatt 发明,其受到Warren McCulloch 和Walter Pitts 早期 的⼯作的影响。 “感知机”属于人工神经元 今天,使用其它人工神经元模型更为普遍 在这本书中,以及更多现代的神 经⽹络⼯作中,主要使⽤的是...
TODO: 32 参考 感谢帮助! Another Chinese Translation of Neural Networks and Deep Learning 本文作者:yiyun 本文链接:https://moeci.com/posts/分类-读书笔记/NN-DL-notebook-2/
第四周:深层神经网络(Deep Neural Networks) 深层神经网络(Deep L-layer neural network) 目前为止我们学习了只有一个单独隐藏层的神经网络的正向传播和反向传播,还有逻辑回归,并且你还学到了向量化,这在随机初始化权重时是很重要。本周所要做的是把这些理念集合起来,就可以执行你自己的深度神经网络。
Deep learning, a powerful set of techniques for learning in neural networks Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neur...
《Neural Networks and Deep Learning》是Springer出版的图书，作者是Charu C. Aggarwal 内容简介 This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important...