The Independent Code
The Independent Code
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Softmax Layer from Scratch | Mathematics & Python Code
In this video we go through the mathematics of the widely used Softmax Layer. We then proceed to implement the layer based on the code we wrote in last videos.
😺 GitHub: github.com/TheIndependentCode/Neural-Network
EIDT: I decided to deactivate my @CodeIndependent Twitter account. Instead I'll use my personal account to tweet about upcoming videos :)
🐦 Twitter: omar_aflak
Chapters:
00:00 Introduction
00:30 Forward
01:31 Forward Code
02:14 Backward
05:47 Backward Code
06:21 Conclusion
zhlédnutí: 15 770

Video

The unknown trick to solve these polynomials: symmetrical coefficients
zhlédnutí 3KPřed 2 lety
In this video I show you a trick to divide by two the degree of some special sets of polynomials: the symmetrical coefficients polynomial. 😺 GitHub: github.com/TheIndependentCode/Neural-Network 🐦 Twitter: omar_aflak Chapters: 00:00 The method 01:52 Degree 6 03:00 Generalisation 04:28 Proof 05:28 Summary
Convolutional Neural Network from Scratch | Mathematics & Python Code
zhlédnutí 173KPřed 3 lety
In this video we'll create a Convolutional Neural Network (or CNN), from scratch in Python. We'll go fully through the mathematics of that layer and then implement it. We'll also implement the Reshape Layer, the Binary Cross Entropy Loss, and the Sigmoid Activation. Finally, we'll use all these objects to make a neural network capable of classifying hand written digits from the MNIST dataset. 😺...
Neural Network from Scratch | Mathematics & Python Code
zhlédnutí 130KPřed 3 lety
In this video we'll see how to create our own Machine Learning library, like Keras, from scratch in Python. The goal is to be able to create various neural network architectures in a lego-fashion way. We'll see how we should architecture the code so that we can create one class per layer. We will go through the mathematics of every layer that we implement, namely the Dense or Fully Connected la...