tensorflow-deep-learning
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mrdbourke
Question about model 4 conv1d in notebook 10(time series prediction for bitcoin price)
This is the model summary in model 4
Model: "model_4_conv1D"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lambda_1 (Lambda) (None, 1, 7) 0
_________________________________________________________________
conv1d (Conv1D) (None, 1, 128) 4608
_________________________________________________________________
dense_6 (Dense) (None, 1, 1) 129
=================================================================
Total params: 4,737
Trainable params: 4,737
Non-trainable params: 0
Don't we want input to conv1d layer have shape of (batch_size, timesteps(window size), input_dim) ?
