README

Content locked

The catalog is public. Reading this content requires approved access.

hw6

Overview

Summary

Part 1: Setting up the Python Virtual Environment

Environment Setup

Step 1: Create Virtual Environment

Step 2: Activate the Environment

Step 3: Install PyTorch

Part 2: Build Your First Neural Network

Required Functions

get_data_loader(training=True)

build_model()

build_deeper_model()

train_model(model, train_loader, criterion, T)

evaluate_model(model, test_loader, criterion, show_loss=True)

predict_label(model, test_images, index)

Import Necessary Packages

Get the DataLoader

Hint 1: Using Built-in Datasets

Hint 2: DataLoader

Expected Output

Build Your Model

Model Architecture

Expected Output

Train Your Model

Setup Optimizer

Training Loop

Output Format

Format Requirements

Evaluate Your Model

Output Format

Deeper Learning

Deeper Network Architecture

Optional Extra Credit: Evaluation Performance

Scoring

Predict the Labels

Softmax Function

Implementation

Expected Output

Deliverables

Submission