Getting Started with PyTorch Lightning for Deep Learning
Offered By: Venelin Valkov via YouTube
Course Description
Overview
Discover how to streamline Deep Learning projects using PyTorch Lightning in this 22-minute tutorial. Explore the installation process and delve into the GoEmotions dataset by Google for emotion classification. Learn to set up a Google Colab notebook, analyze data, tokenize Reddit comments, and determine appropriate sequence lengths. Gain valuable insights into PyTorch Lightning's capabilities and prepare for future developments in the field of Deep Learning and Machine Learning.
Syllabus
What is PyTorch Lightning?
GoEmotions dataset by Google
Setup Google Colab notebook
Exploring the data
Tokenizing a Reddit comment
Choosing sequence length
Coming up next
Taught by
Venelin Valkov
Related Courses
Deep Learning with PyTorch for Medical Image AnalysisUdemy Understanding the Machine Learning Process and Embedding Models into Apps
Microsoft via YouTube Supercharge Your Training With PyTorch Lightning and Weights & Biases
Weights & Biases via YouTube Building a GAN From Scratch With PyTorch - Theory + Implementation
AssemblyAI via YouTube Multi-Label Classification on Unhealthy Comments - Finetuning RoBERTa with PyTorch - Coding Tutorial
rupert ai via YouTube