Imports for custom activations

imports.py

# Import basic libraries
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from collections import OrderedDict

# Import PyTorch
import torch # import main library
from torch.autograd import Variable
import torch.nn as nn # import modules
from torch.autograd import Function # import Function to create custom activations
from torch.nn.parameter import Parameter # import Parameter to create custom activations with learnable parameters
from torch import optim # import optimizers for demonstrations
import torch.nn.functional as F # import torch functions
from torchvision import datasets, transforms # import transformations to use for demo