Arshjot Singh Khehra comments

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                                            Arshjot Singh Khehra

Send custom model without having to call before model.predict(dummy_data)

We can set the input shape while defining the model as shown below: ``` class CustomModel(tf.keras.Model): def __init__(self, num_classes=10): super(CustomModel, self).__init__(name='custom_model') self.num_classes = num_classes self.flatten = tf.keras.layers.Flatten() self.dense_1 = tf.keras.layers.Dense(128,...

Update Part 2 tutorial to include Dropout layer in Custom model example.

Hey @murarugeorgec, did you make any progress? Otherwise, I can take up this issue.

Update Part 2 tutorial to include Dropout layer in Custom model example.

Thank you guys! I've just submitted a PR to fix this :)

Error when opening the '.zarray' file in mt3 checkpoints

I had this issue too, try using the full path (absolute path) of the checkpoint instead of the relative path