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說明: 本書由Keras之父甥雕、現(xiàn)任Google人工智能研究員的弗朗索瓦?肖萊(Franc?ois Chollet)執(zhí)筆,詳盡介紹了用Python和Keras進(jìn)行深度學(xué)習(xí)的探索實(shí)踐,包括計算機(jī)視覺妖爷、自然語言處理、產(chǎn)生式模型等應(yīng)用歼秽。書中包含30多個代碼示例折砸,步驟講解詳細(xì)透徹。由于本書立足于人工智能的可達(dá)性和大眾化诊胞,讀者無須具備機(jī)器學(xué)習(xí)相關(guān)背景知識即可展開閱讀暖夭。在學(xué)習(xí)完本書后,讀者將具備搭建自己的深度學(xué)習(xí)環(huán)境撵孤、建立圖像識別模型迈着、生成圖像和文字等能力。
(This book is written by Franc_ois Chollet, the father of Keras and a current researcher on artificial intelligence at Google. It introduces in detail the exploratory practice of using Python and Keras for in-depth learning, including computer vision, natural language processing, production models and other applications. The book contains more than 30 code examples, the steps to explain in detail. Because the book is based on the accessibility and popularity of artificial intelligence, readers need not have the background knowledge of machine learning to start reading. After learning this book, readers will have the ability to build their own in-depth learning environment, establish image recognition model, generate images and text.)
Python深度學(xué)習(xí).pdf, 19984989 , 2018-09-13
Python深度學(xué)習(xí)代碼, 0 , 2017-11-19
Python深度學(xué)習(xí)代碼\2.1-a-first-look-at-a-neural-network.ipynb, 13940 , 2017-11-19
Python深度學(xué)習(xí)代碼\3.5-classifying-movie-reviews.ipynb, 69517 , 2017-11-19
Python深度學(xué)習(xí)代碼\3.6-classifying-newswires.ipynb, 63700 , 2017-11-19
Python深度學(xué)習(xí)代碼\3.7-predicting-house-prices.ipynb, 70240 , 2017-11-19
Python深度學(xué)習(xí)代碼\4.4-overfitting-and-underfitting.ipynb, 106102 , 2017-11-19
Python深度學(xué)習(xí)代碼\5.1-introduction-to-convnets.ipynb, 11100 , 2017-11-19
Python深度學(xué)習(xí)代碼\5.2-using-convnets-with-small-datasets.ipynb, 431140 , 2017-11-19
Python深度學(xué)習(xí)代碼\5.3-using-a-pretrained-convnet.ipynb, 233147 , 2017-11-19
Python深度學(xué)習(xí)代碼\5.4-visualizing-what-convnets-learn.ipynb, 7004823 , 2017-11-19
Python深度學(xué)習(xí)代碼\6.1-one-hot-encoding-of-words-or-characters.ipynb, 8792 , 2017-11-19
Python深度學(xué)習(xí)代碼\6.1-using-word-embeddings.ipynb, 94317 , 2017-11-19
Python深度學(xué)習(xí)代碼\6.2-understanding-recurrent-neural-networks.ipynb, 84619 , 2017-11-19
Python深度學(xué)習(xí)代碼\6.3-advanced-usage-of-recurrent-neural-networks.ipynb, 204233 , 2017-11-19
Python深度學(xué)習(xí)代碼\6.4-sequence-processing-with-convnets.ipynb, 94418 , 2017-11-19
Python深度學(xué)習(xí)代碼\8.1-text-generation-with-lstm.ipynb, 160597 , 2017-11-19
Python深度學(xué)習(xí)代碼\8.2-deep-dream.ipynb, 201125 , 2017-11-19
Python深度學(xué)習(xí)代碼\8.3-neural-style-transfer.ipynb, 415051 , 2017-11-19
Python深度學(xué)習(xí)代碼\8.4-generating-images-with-vaes.ipynb, 283828 , 2017-11-19
Python深度學(xué)習(xí)代碼\8.5-introduction-to-gans.ipynb, 147649 , 2017-11-19
Python深度學(xué)習(xí)代碼\LICENSE, 1074 , 2017-11-19
Python深度學(xué)習(xí)代碼\README.md, 3998 , 2017-11-19