Reading the first 42 pages of my first novel (Charlie Walks) out loud
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- Опубліковано 3 лип 2024
- Charlie Walks is the debut novel by Daniel Bourke, it tells the fictional story of a machine learning engineer who loves walks and wants to be a writer. During the day, Charlie writes code for the largest technology company in the world. During the night, he writes letters to his nephew Pauly about his past life experiences and what he's learned inside XK-1, his secret world generating computer program.
In this video, Daniel Bourke reads the first 42 pages (16 chapters) of the book out loud.
Book homepage - www.charliewalks.com
Buy the book (digital version) - mrdbourke.gumroad.com/l/charl...
Other things I've made:
Learn ML (beginner-friendly course) - dbourke.link/mlcourse
Learn Deep Learning + TensorFlow (code-first) - dbourke.link/tfcourse
Read TensorFlow Book (free) - learntensorflow.io
Connect elsewhere:
Web - dbourke.link/web
Twitch - / mrdbourke
ArXiv channel (past streams) - / @danielbourkearxiv2821
Get email updates on my work - dbourke.link/newsletter
Timestamps:
0:00 - Intro
1:15 - Chapter 1
3:17 - Chapter 2
7:37 - Chapter 3
13:19 - Chapter 4
16:39 - Chapter 5
28:56 - Chapter 6
29:37 - Chapter 7
30:57 - Chapter 8
32:44 - Chapter 9
33:54 - Chapter 10
37:11 - Chapter 11
41:03 - Chapter 12
52:39 - Chapter 13
56:51 - Chapter 14
1:01:28 - Chapter 15
1:04:30 - Chapter 16
1:18:36 - Outro - Наука та технологія
Friends, today is my 28th birthday, it's also the release of my first book, Charlie Walks: A Novel, the story of a machine learning engineer who loves walks and wants to be a writer.
This has been four years in the making. Starting, stopping, starting, stopping. Now it's here. And it's the best thing I've ever made.
You can find all the details you need on the book's homepage: www.charliewalks.com
Keep learning, keep reading, keep writing, keep moving, keep walking.
Enjoy!
Who is the cameraman? Xk1? Or one of your bros?
deliberate use of one-third rule.
Happy bday Daniel! You rock!
Found your channel while searching for ML material. Subbed 5 min into the first video! No BS! Awesome! Still going thru the 10 hour one. Happy BDay! Good job! How about reading the book for Audible?
Happy Birthday! Wish you a great life ahead. Thank you for making such a good course on ML,DL.
Thank you Rohan! Plenty more to come :)
Nice Dan. It's nice to see your excitement. Nothing is as beautiful as someone reaching their potential.
Good example of show not tell. Love it. SOLD.
Thank you thank you thank you! Enjoy my friend, thank you for all the kind words over the years
Congrats man!
Hey Daniel,
Happy birthday and congrats for publishing your first novel.
Since you published the video, I've been listening to your storytelling during my evening walks and so far I've been loving it.
I guess I'm going to buy the book to know how the story ends and I'm also extremely happy that my small contribution we'll help you to fund your future projects.
By the way, you should seriously consider the idea of making an "official" audio version of the book with you as narrator.
Thank you thank you Mat!
And as for an official audio version, stay tuned!
Happy birthday Daniel😊. Wish your book have great success.
Thank you Jam :)
Woohoo !! Happy Birthday Legend !!
His birthday day ?
@@mageshyt2550 Yeahh !!
Thank you Gaurav! I really appreciate it!
Nice job mate, keep it rollin! Greetings from Chile
Thank you Nicolas! Big love from Australia 🇦🇺
thank you!
Enjoy Iva!
Congratulation for the book sir and also a very happy Birthday.
Thank you very much! Enjoy Vikram :)
Good job, Daniel!
Thank you thank you!
"Addiction cant be removed Only replaced"
That Hit me hard...
Whoa...The dude can do anything
Hahaha, plenty more to go!
Happy Birthday to my favourite instructor and my friend 🥳🥳🥳🥳🥳 Love u 💛.
Thank you thank you thank you! Love you too
Writing a novel is a tremendous achievement. Well done.
Thank you Byron! I appreciate it
Loves the scene here 41:01
Love u form india ❤️
Happy Birthday Daniel !!!
Wish you tons of creativity & learning :)
Enjoy your day mate & have a blast ....!!!!!!!!!!!!
And I'll enjoy "CHARLIE WALKS" by @mrdbourke
Thank you Yogesh! Really appreciate your support legend! Enjoy my friend :)
The below does not work and is not even right, but if you get the gist then great.
changable_tensor = tf.Variable([‘Good’, ‘Read’])
changable_tensor[0].assign(‘Happy’)
changable_tensor[1].assign(‘Birthday’)
I understand completely! thank you Sean :)