Sketchy Loss Functions

[twhughes]

When I train simple linear models, the loss function oscillates wildly. For example, using inSituAdam:

model_linear = neu.Sequential([
    neu.ClementsLayer(N),
    neu.Activation(neu.Abs(N)),
    neu.DropMask(N, keep_ports=range(N_classes))
])

losses = neu.InSituAdam(model_linear, neu.CategoricalCrossEntropy, step_size=step_size).fit(x_train_flattened, y_train_onehot, epochs=n_epochs, batch_size=batch_size)

This may be a sign that the gradients are incorrect. Should double check.

[twhughes]

I think its fine. This is probably due to the way the batching works.

[sunilkpai]

Just got this email notif, I don't think you would get this issue if you removed the abs nonlinearity and did a meansquareerror loss.