Neural Networks from Scratch - P.2 Coding a Layer

Expanding from a single neuron with 3 inputs to a layer of neurons with 4 inputs.

#nnfs #python #neuralnetworks

[robertschumann]

Again, I just want to thank you for this great series, especially those animations are amazing. Providing free education on such a high level is something what people nowadays more and more forget to value...

[meunomejaestavaemuso]

I tried coding a NN from scratch a few years ago, feed-foward is pretty easy, the tricky bit is back-propagation, looking forward to that.

[danielai]

The way you explain plus the animations from manim makes it so pleasant to watch. Thanks for this awesome content, this is what we all have been waiting for.

[JoeElliotSA]

This is the course I have been waiting for. I have tried a few courses and learned so much BUT never fully understood what exactly I was doing 🤣. I always wanted to know what was behind the deep learning algorithms. Many thanks for this series of videos. 👍

[mankaransingh]

Other People: Some Netflix Series


Me: SENTDEX TUTORIAL SERIES !!

[parsafakhar]

i'm so exited about this series, god knows how many years i wanted something like this, thx sentdex i really appreciate it

[adrianwuthrich]

This is the first time I activated notifications for a channel

[khmsalhuas]

I am looking forward to finally really grasping the science behind deep learning. In the past, I just used libraries without understanding much. Great Series so far. Waiting for part 3.

[italiandarthvader]

I have been searching for countless videos on YouTube to start with deep learning and this is the first one I found where it is explained in a way I can understand. I'm two videos in but I just want to say you made me fall in love with deep learning. Thank you!

[danieloliveira]

It is just incredible the amount of effort that he puts in these videos, omg, thank you soooo much for making such a quality content available for free. You are really making the difference, man

[tranbao]

Looking at the animation for each line, I know how much dedication this guy has on this topic. Respect ✊

[ahmadayazamin]

"Neural Networks from Scratch"
I expected a tutorial on building neural networks using x86 assembly...

[asdyss-itamio]

best youtube tutorial of neural coding, learning how the basic code works before getting to the complex is really helpful, thank you for making such an awesome series, really appreciate it! :D

[navis_]

This series is like premium quality....
It goes even further than paid ones..
You have my respect sir for making it free for us...

I am just new to Neural network.. And I am so glad I found your video...
A sub from me

[charimuvilla]

Can't wait for the backprop part. Other youtubers confused me but I'm sure you will help me undrestand everything as always hehe

[zakariaabdisalam]

sentdex, there are many tutorials online on neural networks, and I swear I had the same problem which was to hardcode the process and visualize the process from neuron to neuron and from layer to layer. Non of the NN tuts that I've watched went over this. However, you started to make an amazing tut with detail visualization and hardcoded NN process, basically you filled up all the gaps for learning. And you definitely deserve more than me joining the membership. Love you So much continue doing your amazing tuts. Looking forward to buying your book. ❤❤❤❤

[soldour]

no one would believe if I say neural network could be explained in such way...but there you go putting it out!
stay cool :)

[astrolearnings]

I am used to guys not knowing what they are blabbering about but
I can understand the concepts you are talking about quite clearly so thanks for that Mann pure gold content.

[leonlysak]

Dude the ability you have for breaking down the complex into simple is nothing short of amazing.

[thecathode]

This is brilliant, the animations are awesome. I wish I had this when I studied neural networks back in 1993; at the time I quit and chose another very interesting topic (digital filters) and never finished my backpropagation implementation in C++ which I found the other day in a diskette., which I think will be fun to revisit.