deep-learning-with-python-notebooks
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fchollet
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Hello I am getting an error when I add this line >z = layers.Lambda(sampling)([z_mean, z_log_var]) I get an error that says: 'ValueError: Duplicate node name in graph: 'lambda_1/random_normal/shape'' Any ideas?...
- dict_keys keys updated - removed two unnecessary variable attributions - correction of the Accuracy label
In the section `5.3-using-a-pretrained-convnet` you put the following statement. > Running the convolutional base over our dataset, recording its output to a Numpy array on disk, then using this data...
The model built in [5.1-introduction-to-convnets.ipynb](https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/5.1-introduction-to-convnets.ipynb) does not train at all. The training accuracy stays at around 0.09
 This example illustrates the impact of L2 regulation. I can see that the L2-regularied model gets overfitting slowly comparing with the original model. But the peak of validation loss...
I need help with the above. My all_scores is supposed to be a list from which i calculate the mean score (np.mean(all_scores)). However on both Anaconda and Google Colaboratory i...
Hello, in the book in 3.1.1 it states: > Consider the following example: ``` > from keras import layers > layer = layers.Dense(32, input_shape=(784,)) ``` > We’re creating a layer...
Reading from imdb data set raises error as: `'charmap' codec can't decode byte 0x8d in position 194` Fix is to open file with utf-8 encoding with adding encoding definition in...
The example in chapter 2.2.2 the code creates an array containing **four** entries. The section right beneath it starts with "This vector has **five** entries ..." and uses 5 throughout...
