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View Code? Open in Web Editor NEWKeras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
Ihello
I get this error ---> ValueError: The kernel_size
argument must be a tuple of 1 integers. Received: 0 including {0} that does not satisfy the requirement > 0
.
when I run this ---> wnc = WaveNetClassifier((320,), (2,),kernel_size = 2, dilation_depth = 9, n_filters = 40, task = 'classification')
i am training with data.Dataset from tensorflow and it appears the following error:
ValueError: Exception encountered when calling layer 'reshaped_input' (type Reshape).
total size of new array must be unchanged, input_shape = [], output_shape = [48000, 1]
Call arguments received by layer 'reshaped_input' (type Reshape):
• inputs=tf.Tensor(shape=(None,), dtype=float32)
I am getting the following error-
File "/media/eee/AA70975870972A59/Monthwise_experiments/april2019/wavenet-classifier-master/WaveNetClassifier.py", line 154, in fit
if self.task == 'classification':
AttributeError: 'WaveNetClassifier' object has no attribute 'task'
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