Practical Deep Learning: A Python-Based Introduction

Last year I started my first project assignment on deep learning, and puzzled my way through it using Stack Overflow. It was a disjointed and somewhat awkward way to learn, but I did in fact get a lot of the basics. However, when I saw this book I suddenly realized it was past time to do some proper reading and learning on the topic, and fired off an order. Reading it now gives a series of 'oh yeah', and 'aha' moments, as it connects up various loose ends I'd come across and never properly registered. It's written in a semi-conversational style that is similar to how you'd get information from a co-worker, if you had a co-worker that was knowledgeable in deep learning. For example, it has a style where there's an occasional contra-example given to show what something ISN'T, alongside what it IS. I didn't have any such co-worker, but if I'd had this book instead of just stack overflow it would have been a big help. Highly recommended if your learning style is anecdotal, informal and driven by hands-on results.

Excelente material, sumamente pedagógico, bien estructurado, claro y conciso. La vara de entrada es saber programar en Python y conocer los fundamentos de NumPy.