Practical Deep Learning for Coders | Machine Learning | AI

Learn how to apply deep learning and machine learning to real-world problems with this free course from fast.ai. Build and train models for computer vision, NLP, and more.

Introduction

This free course is designed for people (and bunnies!) with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. It covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems, as well as creating random forests and regression models, deploying models, and using PyTorch, fastai, and Hugging Face.

Highlights

• Build and train deep learning models for a variety of applications
• Create random forests and regression models
• Deploy models
• Use PyTorch, fastai, and Hugging Face

Recommendation

This course is highly recommended for programmers who want to learn how to apply deep learning and machine learning to real-world problems. The course is based on a 5-star rated book and is taught by an expert in the field, Jeremy Howard, who has extensive experience in machine learning and deep learning.