Video of first lesson
Introduction
Go to https://course.fast.ai for code, notebooks, quizzes, etc. This course is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. There are 9 lessons, and each lesson is around 90 minutes long.
We cover topics such as how to:
- Build and train deep learning, random forest, and regression models
- Deploy models
- Apply deep learning to computer vision, natural language processing, tabular analysis, and collaborative filtering problems
- Use PyTorch, the world’s fastest growing deep learning software, together with popular libraries such as fastai, Hugging Face Transformers, and gradio
You don’t need any special hardware or software — we’ll show you how to use free resources for both building and deploying models. You don’t need any university math either — we’ll teach you the calculus and linear algebra you need during the course.
Is it a bird
(01:20) With Jupiter Notebook
- search image on duckduckgo
- download the image
- open the image
- use image inspection tool Pix Spy
- find not a bird images
- download 200 each bird and not a bird
- remove failed links
- create datablock from images
- learn with cnn and fine tune
- predict bird and not a bird, achive probability of 1.