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Title: Python深度学习实战_原书代码 Download
 Description: Deep learning is bringing revolutionary changes to a wide range of industries. For many applications, deep learning proves to be beyond human prediction by making faster and more accurate predictions. This book provides top-down and bottom-up approaches to demonstrate deep learning solutions to practical problems in different areas. These applications include computer vision, natural language processing, time series prediction and robotics.
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FilenameSizeDate
原书代码\.gitattributes 66  2018-05-22

原书代码\9781484235157.jpg 28610  2018-05-22

原书代码\Chapter10_RNN and LSTM in visual\sp500.csv 48119  2018-05-22

原书代码\Chapter10_RNN and LSTM in visual\Time Series forcasting with lstm model.ipynb 58177  2018-05-22

原书代码\Chapter11_Speech to text and vice versa\audio.wav 704556  2018-05-22

原书代码\Chapter11_Speech to text and vice versa\Speech to Text API and Text to Speech.ipynb 14096  2018-05-22

原书代码\Chapter12_Developing Chatbots\intent1.csv 1393  2018-05-22

原书代码\Chapter12_Developing Chatbots\Removing Punctuations.ipynb 72  2018-05-22

原书代码\Chapter12_Developing Chatbots\Removing Stopwords.ipynb 72  2018-05-22

原书代码\Chapter12_Developing Chatbots\TF-IDF and Word2Vec.ipynb 26152  2018-05-22

原书代码\Chapter12_Developing Chatbots\Tokenization.ipynb 72  2018-05-22

原书代码\Chapter13_Face Recognition\Face_Detection.py 3062  2018-05-22

原书代码\Chapter13_Face Recognition\Face_Recognition.py 5288  2018-05-22

原书代码\Chapter13_Face Recognition\Face_Tracking.py 6612  2018-05-22

原书代码\Chapter1_Prerequisites of  Deep Learning Numpy Pandas and Scikit-Learn\chapter1_summary.ipynb 341456  2018-05-22

原书代码\Chapter2_Basics of Tensorflow\chapter2_summary.ipynb 27538  2018-05-22

原书代码\Chapter2_Basics of Tensorflow\TFBasics.ipynb 6190  2018-05-22

原书代码\Chapter3_Understanding and working on Keras\chapter3_summary.ipynb 34522  2018-05-22

原书代码\Chapter3_Understanding and working on Keras\MLPMNIST.ipynb 32446  2018-05-22

原书代码\Chapter3_Understanding and working on Keras\model.h5 13115488  2018-05-22

原书代码\Chapter3_Understanding and working on Keras\modelWeight.h5 6564312  2018-05-22

原书代码\Chapter3_Understanding and working on Keras\Softmax _RegressionB.ipynb 9107  2018-05-22

原书代码\Chapter5_Regresson to MLP in Tensorflow\Implementing a hidden layer MLP.ipynb 23657  2018-05-22

原书代码\Chapter5_Regresson to MLP in Tensorflow\Linear Regression Tensorflow.ipynb 48633  2018-05-22

原书代码\Chapter5_Regresson to MLP in Tensorflow\Logistic Regression Tensorflow.ipynb 23254  2018-05-22

原书代码\Chapter5_Regresson to MLP in Tensorflow\Saved Games\desktop.ini 282  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\Fashion MNIST Data Logistic Regression in Keras.ipynb 3749  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\fashion_mnist.py 1520  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\iris_test.csv 511  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\iris_train.csv 4151  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\Log Linear Model using scikit learn and keras.ipynb 15944  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\Logistic regression using scikit Learn and  keras.ipynb 4958  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\MLP on Iris Dataset.ipynb 16811  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\MLP on MNIST dataset digit classification.ipynb 7781  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\MLP on randomly generated data.ipynb 5545  2018-05-22

原书代码\Chapter6_Regression to MLP in Keras\my_model.h5 1367784  2018-05-22

原书代码\Chapter8_CNN with Tensorflow\chapter 8.ipynb 10151  2018-05-22

原书代码\Chapter9_CNN with Keras\CNN_with_Keras.ipynb 6051  2018-05-22

原书代码\Chapter9_CNN with Keras\horse.jpg 6232  2018-05-22

原书代码\Chapter9_CNN with Keras\Image Classifier with cifar10 data.ipynb 4099  2018-05-22

原书代码\Chapter9_CNN with Keras\Pre-trained Models.ipynb 123152  2018-05-22

原书代码\Contributing.md 677  2018-05-22

原书代码\errata.md 225  2018-05-22

原书代码\LICENSE.txt 1350  2018-05-22

原书代码\README.md 553  2018-05-22

原书代码\Thumbs.db 14336  2019-05-27

原书代码\Chapter5_Regresson to MLP in Tensorflow\Saved Games 0  2019-01-03

原书代码\Chapter10_RNN and LSTM in visual 0  2019-01-03

原书代码\Chapter11_Speech to text and vice versa 0  2019-01-03

原书代码\Chapter12_Developing Chatbots 0  2019-01-03

原书代码\Chapter13_Face Recognition 0  2019-01-03

原书代码\Chapter1_Prerequisites of  Deep Learning Numpy Pandas and Scikit-Learn 0  2019-01-03

原书代码\Chapter2_Basics of Tensorflow 0  2019-01-03

原书代码\Chapter3_Understanding and working on Keras 0  2019-01-03

原书代码\Chapter5_Regresson to MLP in Tensorflow 0  2019-01-03

原书代码\Chapter6_Regression to MLP in Keras 0  2019-01-03

原书代码\Chapter8_CNN with Tensorflow 0  2019-01-03

原书代码\Chapter9_CNN with Keras 0  2019-01-03

原书代码 0  2019-01-03

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