InvalidArgumentError: Input to reshape is a tensor with 898880 values, but the requested shape requires a multiple of 30740

[wanderduck]

The model in the video "Building an end to end CNN Model" throws the error "InvalidArgumentError: Input to reshape is a tensor with 898880 values, but the requested shape requires a multiple of 30740".

This is also included in the error:

[[node sequential_1/flatten_1/Reshape
(defined at /usr/local/lib/python3.7/dist-packages/keras/layers/core/flatten.py:96)
]] [Op:__inference_train_function_1947]

Errors may have originated from an input operation.
Input Source operations connected to node sequential_1/flatten_1/Reshape:
In[0] sequential_1/max_pooling2d_3/MaxPool (defined at /usr/local/lib/python3.7/dist-packages/keras/layers/pooling.py:362)
In[1] sequential_1/flatten_1/Const (defined at /usr/local/lib/python3.7/dist-packages/keras/layers/core/flatten.py:91)

[wanderduck]

So my dyslexia would not let me see the mixed up typed numbers that were causing this

[mrdbourke]

Glad you got this fixed! I do that all the time to haha

[wanderduck]

@mrdbourke is there some sort of trick to make the first epoch of CNN models to run faster? I have GPU on with colab pro, so it should be running on GPU hardware, but I'm running the ten category model right now and the first epoch has an ETA of 45 minutes, whereas yours took about 45 seconds.