[HN Gopher] Intro to Deep Learning
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Intro to Deep Learning
Author : tbau50
Score : 97 points
Date : 2021-08-12 13:55 UTC (9 hours ago)
(HTM) web link (sebastianraschka.com)
(TXT) w3m dump (sebastianraschka.com)
| atum47 wrote:
| Thank you for sharing. I'll make sure to watch it.
| lol1lol wrote:
| can someone please write an advanced deep learning book. there
| are too many intros.
| firefoxd wrote:
| It was kinda hard for me to understand the basics of deep
| learning. A lot of formal courses makes a lot of assumptions.
|
| I ended up watching the deep learning series by 3blue1brown,
| reading the book it was based on. Watching lots of linear algebra
| and calculus videos. Then taking the deep learning specialization
| program on Coursera. This process took 2 months, it taught me the
| basics.
|
| Then I built my own project and realized there were lots wholes
| in my knowledge base. I found an old post on hn that recommended
| deeplizard on YouTube, that was an excellent recommendation and
| intro to pytorch.
|
| One thing to keep in mind is that as you are learning, new
| methods are being invented.
|
| Edit: typos
| mdp2021 wrote:
| Sorry, speaking of web-based books about Deep Learning, I
| remember one in which the figures allowed changing parameters
| and seeing the results - I cannot remember the source or
| author, can anyone?
|
| I confused it with the one from Michael Nielsen...
| amenod wrote:
| I went through multiple resources on the net until it clicked
| for me. I guess each book / video / blog post gives you the
| bits you are ready for, and when enough of these bits
| accumulate you understand it. Looking back, neural networks are
| not that difficult to grasp, but there are many important
| details that one should understand.
|
| What I learned is that it is very important to test
| intermediate results thoroughly. Nets will gladly learn from
| garbage if that is what you (unknowingly) feed them, and they
| might even produce some results - not at acceptable level
| though.
|
| I didn't continue working in this field, but I'm happy I
| learned it (and used it in a project too) and would recommend
| that to any developer. ML really moves the frontier of what we
| can achieve in software much further.
| iamcreasy wrote:
| > I ended up watching the deep learning series by 3blue1brown,
| reading the book it was based on.
|
| What book you are referring to?
| firefoxd wrote:
| This one http://neuralnetworksanddeeplearning.com
|
| It goes much deeper then the videos. Also it is free.
| atum47 wrote:
| Great
| max_ wrote:
| That book is excellent. It's the only one that I can
| recommend to beginners.
| candlemas wrote:
| There sure are a lot of introductions to deep learning.
| malshe wrote:
| Sebastian is also the author of "Python Machine Learning"
| https://www.amazon.com/dp/1789955750/
| yuy910616 wrote:
| I would add that this is one of the few good books by Packt.
| Bayesian Analysis with Python is also pretty good.
|
| Still, most of the time Packt is a reliable signal for low
| quality
| manishsharan wrote:
| >>most of the time Packt is a reliable signal for low quality
|
| In my opinion, Packt is the first one with a book on a new
| technology or framework or use case. When I was getting
| started with Clojure , I ran into a bunch of problems in
| applying it. Packt has more clojure data science books than
| any other source and they were pretty helpful to me. They
| were not as fundamental to my learning as "Clojure for the
| Brave.." but ideas from those books helped me on.
|
| edit : formatting.
| wirthjason wrote:
| That was a good book. I looked at it recently and it's now in
| the 3rd edition! Congrats.
|
| Any other suggestions for good Packt books?
|
| I agree, Packt's quality is much lower than other publishers.
| As a rule of thumb I stay away but occasionally there's a
| gem.
|
| I've been looking at "Machine Learning for Algorithmic
| Trading". It feels like a dump of wikipedia and a bunch of
| jupyter notebooks with sloppy code. I cannot decide if it's
| worth the pain if slogging through that mess.
|
| https://www.amazon.com/Machine-Learning-Algorithmic-
| Trading-...
| nafizh wrote:
| If you want just one book to learn all things deep learning from
| scratch with coding including the latest techniques, it should be
| Dive into deep learning [0]. Really underrated and not well-
| known.
|
| [0] https://d2l.ai/
| ganSo wrote:
| Wow. Did I miss something or is all the content there free?
| That's awesome
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