Deep Learning with PyTorch - Introduction

"Deep Learning with PyTorch" is an online full course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Videos/sessions are uploaded in timely manner. - Watch live hands-on tutorials on YouTube - Train models on GCP using Google Colab. - Build an end-to-end real-world course project This tutorial is an introduction to "Deep Learning with PyTorch" where we understand the significance of using frameworks like PyTorch. Time Breaks: 00:00 Introduction - AI vs ML vs DL 01:56 Traditional ML vs Deep Learning models 07:08 Deep Learning Frameworks 10:10 PyTorch vs TensorFlow trends 12:00 Compute - CPU vs GPU vs TPU Topics covered in this video: ⌨️ Introduction. Understanding how AI, Machine Learning and Deep Learning are related. ⌨️ Difference between "Traditional ML model" and a "Deep Learning" model. When to use what? ⌨️ Deep Learning Frameworks. PyTorch versus TensorFlow. ⌨️ Importance of Compute. Difference between CPU and GPU. Resources: 🔗Papers with code : https://paperswithcode.com/ -- Learn Data Science the right way at https://www.simplifiedailabs.com/ Subscribe for new videos on Artificial Intelligence @SimplifiedAICourse #deeplearning #machinelearning #datascience #datasciencecourse #pythonfordatascience #pytorch #SimplifiedAICourse