In this video I discuss my favorite deep learning book. I like that it covers advanced topics in deep learning, as well as some statistical methods.

Script:

The first thing you notice about Ian Goodfellow's deep learning is a cover. At first glance it looks like a university, but if you look closer you will see that this image is painted with puppies. This book will give any reader a solid foundation in deep learning techniques and vocabulary that comes from the statistical side. I felt like the vocabulary was a big help. For example, when a statistician uses the word inference they mean how little n generalizes to begin with deep learning inference is what a statistician would call prediction another example is the word bias in deep learning bias is what statisticians call The Intercept in Statistics bias is a non-normal pattern in the residuals, so to summarize if you're coming from statistics, this book is a nice book Rosetta Stone, this book has one of the best linear algebra reviews I've seen. If you feel there are gaps in your Matrix Math Chapter 2, you would fill those gaps. The notation is very standard for what you would see in a college-level linear algebra course. I was also pleased that there was an entire chapter devoted to Monte Carlo methods. This is much more my language and it was a pleasure to read. They also have a small section on pseudo-probability, which I thought was impressive. Everything you would expect in an in-depth investigation If the terms rectified linear unit, autoencoders, RNNs, deep Boltzman machines are foreign to you, then pick up this book and read it. it will lay a good foundation!

XVZFTUBE ONLINE:
️https://xvzf.bearblog.dev/tools/
GitHub: https://github.com/xvzftube

FREE AND OPEN SOURCE SOFTWARE I CURRENTLY USE:
️FFmpegLGPL: …………. https://ffmpeg.org/
AudacityGPL: ………… https://www.audacityteam.org/
️ NeovimApache 2.0: ……. https://neovim.io/
R RMIT: ………………. https://www.r-project.org/
PythonPython: ……….. https://www.python.org/
SQLitePublic domain: …. https://www.sqlite.org/index.html
DuckDBMIT: ………….. https://duckdb.org/
DebianGPL: ………….. https://www.debian.org/

Please take the opportunity to connect and share this video with your friends and family if you find it helpful.