Deep Learning with Keras

這個(gè)代碼庫(kù)是《Deep Learning with Keras》的配套代碼。它包含全書(shū)從頭到尾所有所需要用到的項(xiàng)目支持代碼,。

圖書(shū)可以在后臺(tái)回復(fù)'DLK'獲取下載地址 

關(guān)于本書(shū)

本書(shū)從紹監(jiān)督學(xué)習(xí)算法起開(kāi)始介紹,，比如簡(jiǎn)單的線性回歸，經(jīng)典多層感知器和更復(fù)雜的深度卷積網(wǎng)絡(luò),。此外,，您還將了解到一些無(wú)監(jiān)督學(xué)習(xí)算法，例如自動(dòng)編碼器,，受限玻爾茲曼機(jī)和深度信任網(wǎng)絡(luò),。還詳細(xì)解釋了循環(huán)神經(jīng)網(wǎng)絡(luò)RNN以及它的變體LSTM網(wǎng)絡(luò)。本書(shū)還將涉及一些視覺(jué)應(yīng)用,，像識(shí)別手寫(xiě)數(shù)字圖像的識(shí)別,，圖像分類及識(shí)別。還提供了用于面部檢測(cè)的顯著點(diǎn)的識(shí)別的示例,。

運(yùn)行手冊(cè)

所有的代碼都沒(méi)整理在文件夾中,，每個(gè)文件夾對(duì)應(yīng)著章節(jié)的序號(hào)。 

代碼運(yùn)行示例:

• TensorFlow 1.0.0 or higher

• Keras 2.0.2 or higher

• Matplotlib 1.5.3 or higher

• Scikit-learn 0.18.1 or higher

• NumPy 1.12.1 or higher

硬件要求:

• Either 32-bit or 64-bit architecture

• 2+ GHz CPU

• 4 GB RAM

• At least 10 GB of hard disk space available

相關(guān)資源

• Deep Learning with TensorFlow 

  https://www./big-data-and-business-intelligence/deep-learning-tensorflow?utm_source=github&utm_medium=repository&utm_campaign=9781786469786

• Python Deep Learning 

  https://www./big-data-and-business-intelligence/python-deep-learning?utm_source=github&utm_medium=repository&utm_campaign=9781786464453

• Deep Learning with Hadoop 

  https://www./big-data-and-business-intelligence/deep-learning-hadoop?utm_source=github&utm_medium=repository&utm_campaign=9781787124769s

參考文獻(xiàn)：

Deep Learning with Keras：http://www./resources/tutorial/Deep%20Learning%20with%20Keras.pdf

Github 代碼：http://www./resources/tutorial/Deep%20Learning%20with%20Keras.pdf