pytorch.txt

https://pytorch.org/docs/stable/index.html

http://blog.ezyang.com/2019/05/pytorch-internals/

https://www.youtube.com/playlist?list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG

torch.nn.Linear(W_target.size(0), 1)     
Applies a linear transformation to the incoming data: y = xA^T + b

torch.unsqueeze(input, dim, out=None) → Tensor :


zero_grad() :  Sets gradients of all model parameters to zero.

torch.randn() → Tensor :
Returns a tensor filled with random numbers from a normal distribution with mean 0 and variance 1 (also called the standard normal distribution).

torch.tensor() :
A torch.Tensor is a multi-dimensional matrix containing elements of a single data type.

torch.mm(input, mat2, out=None) → Tensor
Performs a matrix multiplication of the matrices input and mat2.

If input is a (n×m) tensor, mat2 is a (m×p) tensor, out will be a (n×p) tensor.