Deep Learning with PyTorch

Book

Deep Learning with PyTorch

Code

• Github repo

• Almost all of our example notebooks contain the following boilerplate in the first cell (some lines may be missing in early chapters)

  %matplotlib inline
  from matplotlib import pyplot as plt
  import numpy as np
  import torch
  import torch.nn as nn
  import torch.nn.functional as F 
  import torch.optim as optim
  
  torch.set_printoptions(edgeitems=2) 
  torch.manual_seed(123)
  

• Convention

  • Variables named with a _t suffix are tensors stored in CPU memory,
  • Variables named with a _g suffix are tensors in GPU memory
  • Variables named with a _a suffix are NumPy arrays.