PyTorch Tutorial : Dataset and DataLoader - Deep Learning

Welcome to our comprehensive tutorial on PyTorch Dataset and PyTorch DataLoader. In this video, we will delve deep into the essential components of PyTorch that are crucial for mastering deep learning. Complete "Deep Learning with PyTorch" Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfRMjkzgzOVJZqVhvLk1gj9Q Videos are uploaded in a timely manner. You will learn: - What Datasets and DataLoaders are in PyTorch - How to create custom datasets to handle your own data - The importance of DataLoader in batching, shuffling, and loading data efficiently - Practical examples that demonstrate how to use these features in real-world applications Resources: 🔗 Code : https://github.com/mohangollapalli/dl-pytorch/blob/f4c183949ccbc4d9dc7d8f9c95deb3ea8f3e469c/02-regression.ipynb 🔗 Dataset : https://github.com/mohangollapalli/dl-pytorch/blob/f4c183949ccbc4d9dc7d8f9c95deb3ea8f3e469c/BostonHousing.csv Whether you are a beginner looking to understand the basics or an experienced practitioner wanting to refine your skills, this tutorial is designed to equip you with the knowledge needed to leverage PyTorch effectively for your deep learning projects. Don't forget to subscribe for more tutorials on deep learning, machine learning, and PyTorch! Time breaks: 00:00 Introduction 01:00 Creating a custom dataset class. 08:05 Creating a DataLoader object. 09:43 Iterating over batches of X, y #PyTorch #DeepLearning #MachineLearning #DataScience #AI #Dataset #DataLoader #Tutorial #CustomDataset #BatchingData #ShufflingData #PyTorchTutorial #SimplifiedAICourse Join us on this journey to mastering deep learning with PyTorch!