Python Deep Learning Projects

Generating music

It's time for the real fun! Let's generate some instrumental music. We will use the code from the model setup and training, but instead of executing the training (as our model is already trained), we will insert the learned weights that we obtained in earlier training.

The following code block executes these two steps:

model = Sequential()model.add(LSTM(    512,    input_shape=(network_input.shape[1], network_input.shape[2]),    return_sequences=True))model.add(Dropout(0.5))model.add(LSTM(512, return_sequences=True))model.add(Dropout(0.3))model.add(LSTM(512))model.add(Dense(256))model.add(Dropout(0.3))model.add(Dense(n_vocab))model.add(Activation('softmax'))model.compile(loss='categorical_crossentropy', optimizer='adam')# Load the ...