george

Hello, as i saw you are using SGD with momentum (default 0.9) could u add a feature to add Nesterov momentum line: 375-376: optimizer = torch.optim.SGD(params, lr=args.lr, momentum=args.momentum, weight_decay=args.weight_decay, ******nesterov=args.nesterov******)...

the issue is for this: https://keras.io/examples/vision/depth_estimation/ 1. In the code, the final convolutional layer uses a tanh activation function: self.conv_layer = layers.Conv2D(1, (1, 1), padding="same", activation="tanh") However, I noticed that...