Meta learning: How To Learn Deep Learning And Thrive In The Digital World

✍ Scribed by Radek Osmulski

• Publisher: Radek Osmulski
• Year: 2021
• Tongue: English
• Leaves: 93
• Edition: 1
• Category: Library

✦ Table of Contents

How To Learn Deep Learning And Thrive In The Digital Age
Table of Contents
Introduction
Who is this book for?
How to read this book
From not being able to program to deep learning expert
Theory vs practice
The problem with theory
For best effects, use one cup of theory, one cup of practice. Rinse and repeat
Practice wins every time
Programming is about what you have to say
The secret of good developers
The best way to improve as a developer
How to use your tools to achieve a state of flow
Use reality as your mirror
Do genuine work (it compounds)
The hidden game of machine learning
How to structure a machine learning project
How to win at Kaggle
The best hardware for deep learning
Debugging with ease is a superpower
Time yourself
You can’t learn a profession by studying a textbook
On finding a job
The deep learning party is on Twitter
Share your work
When to start sharing your work
I am scared to share my work! Help!
What to focus on in sharing your work
Don’t lose sight of what is important
Make mental space for what matters
To engage afterburners, find a mentor
The biggest regret of fast.ai students
Persistence is everything
Change is about what not to do
Learning might just be enough
More perspectives on mentoring
Tap into the power of the community to learn faster
Energize
The good old days
Turning the tide
Forming a habit
What and when you eat matters
What works for me
Where to go from here
Thank you