- Why should we convert integer inputs into float values during training?
nn.Linear (and almost all torch layers) only accepts floats as inputs - What are the various methods to reshape a tensor object?
reshape, view - Why is computation faster with tensor objects over NumPy arrays?
Capability to run on GPUs in parallel is only available on tensor objects - What constitutes the init magic function in a neural network class?
Calling super().__init__() and specifying the neural network layers - Why do we perform zero gradients before performing back-propagation?
To ensure gradients from previous calculations are flushed out - What magic functions constitute the dataset class?
__len__ and __getitem__ - How do we make predictions on new data points?
By calling the model on the tensor as if it is a function – model(x) - How do we fetch the intermediate layer values of a neural network?
By creating a custom method - How does the Sequential method help in simplifying defining...
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