MLP weight evolution on MNIST dataset
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Epoch: –
Step: –
Loss (train): –
Val loss: –
Val acc: –

First layer weights: 784 × 64

First layer biases: 64

Second layer weights: 64 × 64

Second layer biases: 64

Third layer weights: 64 × 10

Third layer biases: 10