PyTorch DataLoader Explained: How to make Basic and Custom Datasets

Learn how data flows in PyTorch:
Dataset → Sampler → DataLoader → Collate → Batch → Model.

In this tutorial, I walk through creating both a basic time series dataset and a custom dataset that does inference-time denoising with Fourier transforms.

We cover:
- Dataset class implementation
- DataLoader setup and batching
- Custom preprocessing in your dataset
- Complete training/inference flow

Perfect for beginners who want to understand what's happening under the hood with PyTorch data loading.

Timestamps:
00:00 PyTorch Data Loading Overview
01:30 Basic Dataset Implementation
04:30 Custom Dataset with Fourier Denoising
07:00 Training & Inference Flow
08:00 Recap