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Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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Chapter 8.2 convnet model (dogs vs cats) test accuracy can not achieve 83.5% as described in the book

shenchenbing opened this issue · comments

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<Deep Learning with Python 2nd Edition> Chapter 8.2 using a convnet model with data augmentation and dropout to classify images of dogs and cats. The book says that the test accuracy is 83.5% but I tried many times, using same model/code and same inputs but got all test accuracy results below 80%. Can anyone try those codes and get results around 83.5%? Or is the book description not correct?