深度强化学习深度学习deep learning with tensorflow.pdf,Deep Learning with TensorFlow Take your machine learning knowledge to the next level with the power of TensorFlow 1.x Giancarlo Zaccone Md. Rezaul Karim Ahmed Menshawy BIRMINGHAM - MUMBAI Deep Learnin
ch08-Keras高层接口 ch09-过拟合 ch10-卷积神经网络 ch11-循环神经网络 ch12-自编码器 ch13-生成对抗网络 ch14-强化学习 ch15-自定义数据集 .gitignore README.md TensorFlow深度学习(带目录).pdf 【《TensorFlow深度学习》】.pdfBreadcrumbs Deep-Learning-with-TensorFlow-book / 【《TensorFlow深度学习...
在Python中,Keras是一个流行的深度学习库,它能够构建和训练深度学习模型。下面是一个使用Keras构建简单神经网络的示例: importnumpyasnpimporttensorflowastffromtensorflowimportkerasfromsklearn.model_selectionimporttrain_test_splitfromsklearn.preprocessingimportStandardScaler# 生成模拟数据X=np.random.rand(1000,20)y=...
Deep Learning with R 2025 pdf epub mobi 电子书 著者简介 François Chollet is a deep-learning researcher at Google and the author of the Keras library. J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras. Deep Learning with R 电子书 图书...
and more. ~~~ COURSE MATERIAL ~~~ 📖 Textbook - https://www.heatonresearch.com/book/applications-deep-neural-networks-keras.html 😸🐙 GitHub - https://github.com/jeffheaton/t81_558_deep_learning ▶️ Play List - https://www.youtube.com/playlist?list=PLjy4p-07OYzulelvJ5KVa...
“separableconvolution”indeeplearningframeworkssuchas TensorFlowandKeras,consistsinadepthwiseconvolution, i.e.aspatialconvolutionperformedtlyovereach channelofaninput,followedbyapointwiseconvolution, i.e.a1x1convolution,projectingthechannelsoutputbythe depthwiseconvolutionontoanewchannelspace.Thisis nottobeconfusedwith...
Deep Learning with Python, Second Edition 2024 pdf epub mobi 电子书 著者简介 François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI...
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework. - HaoHan1997/Deep-Learning-with-TensorFlow-book
这是一批tensorflow(keras)模型(.h5)文件的编辑脚本:1、可实现kersa模型的分割,即把一个模型从指定位置处分割成两个模型;2、可实模型合并连接,即把两个模型拼接在一起,模型2连接在模型1指定节点后面;3、可实现模型的节点移除,移除模型指定的若干节点;4、可实现模型的节点插入,即往模型中指定的位置插入若干节点;...
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment