torch.Tensor([value])	# Define a tensor
torch.randn(value_1, value_2. . .)	# Define a matrix with random values
torch.autograd	# For automatic differentiation
torch.optim	# Implement optimization algorithms
torch.nn	# Neural network layer (sequential, linear, etc.)