also good github/readme practice
notes go here
Completed tutorial links:
https://www.tensorflow.org/tutorials/keras/basic_classification
https://www.tensorflow.org/tutorials/keras/basic_text_classification
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding (Embedding) (None, None, 16) 160000
_________________________________________________________________
global_average_pooling1d (Gl (None, 16) 0
_________________________________________________________________
dense (Dense) (None, 16) 272
_________________________________________________________________
dense_1 (Dense) (None, 1) 17
=================================================================
Total params: 160,289
Trainable params: 160,289
Non-trainable params: 0
_________________________________________________________________
questions about this:
(None, None, 16) , resulting dimensions are (batch, sequence, embedding) <-- what is this shape supposed to mean? why is None part of the shape?
also learned a new thing for pyplot:
plt.figure()
fig = plt.gcf()
fig.canvas.set_window_title('Training and Validation Accuracy') #sets window title
current tutorial link: https://www.tensorflow.org/tutorials/keras/basic_regression