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 used the code shown on the book and tried the code from the website as well (so I believe it is the correct code). Is there any version-related...
Need to add the import of layers from keras for this code to compile.
Consider the code below, taken from notebook for chapter 8 (computer vision) **Downloading the data** !kaggle competitions download -c dogs-vs-cats `!unzip -qq train.zip` Before runninng the last command `!unzip train.zip`,...
Hi, thanks for the valuable example. Can you add a last step to show how to do the actual prediction? For me, there are several open questions such as: -...
Hi, I have a problem when running Listing 12.30. After I execute the code, the following error occurs: _Access denied with the following error: Cannot retrieve the public link of...
Hello, I am trying to run the cell LSTM for weather prediction in time series: notebook 10 inputs = keras.Input(shape=(sequence_length, raw_data.shape[-1])) x = layers.LSTM(16)(inputs) outputs = layers.Dense(1)(x) model = keras.Model(inputs,...
Why the mini-batch size are always set as 218 or 512, with the train-data size can't be evenly divisible by the input size? Thanks
as the book says **_yield samples[:, ::-1, :], targets_**. why the **_targets_** does not change as _**targets[::-1]**_, I get it,sample.shape is (128,120,14),five days record time point 120,reverse read 120 time...
In case of IMDB example, why did we initialize the last layer with only 1 neuron? Though we have two classes: positive and negative reviews: `model.add(layers.Dense(1, activation='sigmoid')) `
Hi I have some questions with regards to generating the train, val and test sets for the temperature forecasting problem. 1. When using the timeseries_dataset_from_array tool, we passed the argument...
