Image Classification using Convolutional Neural Networks in PyTorch

import os
import torch
import torchvision
import tarfile
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
from torchvision.datasets.utils import download_url
from torchvision.datasets import ImageFolder
from torch.utils.data import DataLoader
import torchvision.transforms as tt
from torch.utils.data import random_split
from torchvision.utils import make_grid
import matplotlib.pyplot as plt
%matplotlib inline
!pip install jovian
import jovian

Collecting jovian
  Downloading jovian-0.2.15-py2.py3-none-any.whl (94 kB)
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Collecting uuid
  Downloading uuid-1.30.tar.gz (5.8 kB)
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Building wheels for collected packages: uuid
  Building wheel for uuid (setup.py) ... done
  Created wheel for uuid: filename=uuid-1.30-py3-none-any.whl size=6500 sha256=2a87331f74f571a81ce2319496432d0c9fbcd67e024aae5cf4d82188c8e36137
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Successfully built uuid
Installing collected packages: uuid, jovian
Successfully installed jovian-0.2.15 uuid-1.30

import torchvision.models as models

project_name='chappo flowers'

Exploring the Data

We'll download the images in PNG format from this page, using some helper functions from the torchvision and tarfile packages.