💡 PyTorch Deep Learning Model

This is a trained model, making predictions, and evaluating its performance with test images. The process involves importing dependencies, setting up data transformations, defining a neural network class, and training the model with backpropagation.

🧠 Overview

PyTorch is an open-source deep learning framework commonly used in Python.
Developed by Facebook, PyTorch accelerates the creation of deep learning models and is widely used in research.

📒 Step-by-step

1. Setting Time Limit and Constraints

2. Creating a Python file and import dependencies

3. Creating Neural Network Class

4. Training function and Optimizer setup

5. Training the Neural Network

6. Making Predictions with the Trained Model

⚙️ Dependencies

Python 3.X
Pytorch 🐍🔥