Machine Learning in Elixir: Chapter 7 - Low accuracy and weight matrix full of NaNs in MLP example

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Hello @seanmor5

I have the same problem, from chapter 7 when I try the cnn_trained_model_state the results are not the same as in the book :


09:03:50.990 [debug] Forwarding options: [compiler: EXLA] to JIT compiler

Epoch: 0, Batch: 150, accuracy: 0.5013453 loss: 7.5956130

Epoch: 1, Batch: 163, accuracy: 0.5018579 loss: 7.6527510

Epoch: 2, Batch: 176, accuracy: 0.5010152 loss: 7.6714020

Epoch: 3, Batch: 139, accuracy: 0.5034598 loss: 7.6697083

Epoch: 4, Batch: 152, accuracy: 0.5019404 loss: 7.6802869

And I have NaN in the model

        [NaN],
        [NaN],
        [NaN],
        [NaN],
        [NaN],
        [NaN],
        [NaN],
        [NaN],
        ...
      ]
    >
  }
}
```
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