Created 4 years ago
Image Classification with Logistic Regression (Minimal)
# Uncomment and run the commands below if imports fail
# !conda install numpy pytorch torchvision cpuonly -c pytorch -y
# !pip install matplotlib --upgrade --quiet
!pip install jovian --upgrade --quiet
WARNING: You are using pip version 20.1; however, version 20.1.1 is available.
You should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.
# Imports
import torch
import jovian
import torchvision
import torch.nn as nn
import matplotlib.pyplot as plt
import torch.nn.functional as F
import torchvision.transforms as transforms
from torchvision.datasets import MNIST
from torch.utils.data import random_split
from torch.utils.data import DataLoader
# Hyperparmeters
batch_size = 128
learning_rate = 0.001
# Other constants
input_size = 28*28
num_classes = 10
jovian.reset()
jovian.log_hyperparams(batch_size=batch_size, learning_rate=learning_rate)
[jovian] Please enter your API key ( from https://jovian.ml/ ):
API KEY: ········
[jovian] Hyperparams logged.