Fake It Till We Make It

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