11.3 Neuroevolution Flappy Bird with TensorFlow.js

[secularblasphemy]

One of the best aspects of your videos is how you walk through the entire coding process. The ENTIRE coding process. You make mistakes and correct them (instead of just giving up.) You say, "Okay, I forget some of this, so I'm going to have to look at the documentation." You run something successfully, but it doesn't do what you want. And sometimes what it does instead is interesting, and worth revisiting later.


Great lectures, great stuff.

[Draxi_]

I'm a Unity game developer and I just watched this whole video for some reason. Your presentation of the problem is so entertaining that I just got lost in it because every word that came out of your mouth was full of energy and had a purpose. Great job!

[grainfrizz]

Siraj, this is real machine learning.

[prestocranius]

Watching this in 2020, there is no other channel with the quality of content this channel offers

[kae]

Sir Daniel, you are the best teacher on YouTube. I am 13 years old and because of you i know more about programming and AI than even 20 year olds. I am truly so so grateful towards you. Even though i started with python, whenever i have any problem, i look up one of your videos and totally get the topic. You're on of the best programmers around. One of my life's main goals is to meet you, and i hope you never stop making such brilliant videos. Thankyou !

[muhtasimayaz]

this is exactly what I was waiting for. Now I know how to use TensorFlow.js layers in a more customised way. Thanks Daniel

[AbhishekSachans]

I just love the way your lectures flow. So much energy flowing out of the screen.

[yousufkhalid]

I am a web developer currently starting AI also and i take much knowledge about neural networks and also AI functionalities .. Nice its really awesome .. Thanks :)

[Xy-gxou]

So recently i thought to myself: hey Im interested in AI, let's see if I can make a nn myself. Was a bit disappointed after I put several hours in without any real progress. And now Daniel is uploading this gem. Thank you so much, i will definitely watch through and try it on the weekend myself!

[hckbloodday]

please don't stop with these videos, I love them all, igf you have a son make him tech for you when you get older

[RicoGalassi]

Always a good time when I get the notification for a new vid of yours!

[FerMJy]

oh.. i thought this chapter was over... nice you are back with Neuroevolution!!
Can you do something about (deep)Q-Learning and A3C? (more interested in Q-Learning)

[gilsuit]

This video is greatly explained and makes neural networks look easy!

[techrider]

Finnaly I've been waiting forever for this. I know how it works but I don't know how its made. I'm just really fascinated about how they work with all of the possibilities . I honestly don't know how @the coding train does it but I tip my hat to you. So keep doing what your doing, and I can't wait for the next one.☺

[smilingx-]

Really nice courses thank you for your investment. I will now copy paste your beautiful code in my app and conquer the world.

[vsvijay]

Great Video!!
Suggestions:
- Generally JavaScript used camelCase variables and functions, so the variables you created "input_nodes" and "hidden_nodes" should be "inputNodes" and "hiddenNodes".
- You could make use of "async-await" feature of javascript to deal with promises and callbacks... e.g. const outputs = await ys.data();
- Why can't you use Object.create(this.model) to create copy new model?

[CitizensCommunity]

the content is great, but I am on the fence on if it is good for learning or not. I start thinking I understand what is going on, then he realizes he made a mistake and quickly changes things, and I am not sure if I am remembering the corrected part or the original. Still great to hear him work through the problems and logic, and while explaining so well.

[FabledNarrative]

Human moment!
@ 3:43
(thought) "UHHH..." (thought)
Keep doing what you do Daniel! :D

[bjoernsan]

I really enjoyed this video! Waiting for more

[henriquevoni]

If you are not using crossover for evolving in each epoque, then you may be more close to a Immune System algorithm (look for Clonal Selection)