Conventions when using pytorch for machine learning

1. Prefer F.relu
   prefer F.relu(tensor) instead of torch.relu(tensor) or tensor.relu()
   prefer nn.ReLU() when composing

2. Using explicit layers are preferred over lazy layers, as it forces calculation, and catches miscalculation and therefore mismatched expectations. using layers for prototyping is fine.