Neural Network from scratch using Only NUMPY

source code: GitHub link
https://github.com/DrRCB/code_a_neural_network.git
Mathematics of neural networks How does a neural network work. Implement neural network from scratch
https://youtu.be/b7NnMZPNIXA
This playlist
https://www.youtube.com/watch?v=UDIIGYF5Xwc&list=PLJ4-ETiGBrdOZuDqcuEkGH6_MqGoxy4HW&pp=gAQBiAQB

Neural Network from scratch using Only NUMPY. No Tensorflow/PyTorch/Scikit-Learn Libraries
? Dive into the fundamentals of deep learning with our latest tutorial! In this video, we'll guide you through the process of building a Neural Network from scratch using only NumPy, the powerful numerical computing library in Python. Whether you're a beginner looking to understand the inner workings of neural networks or an experienced developer aiming to strengthen your foundational knowledge, this tutorial is tailored for you.

? What You'll Learn:

Introduction to Neural Networks: Uncover the basic concepts and architecture of neural networks.
Forward Propagation: Learn how to implement the forward pass to make predictions using your neural network.
Loss Function: Understand the importance of loss functions and how they guide the network towards better performance.
Backpropagation: Dive into the intricacies of backpropagation, the key algorithm for training neural networks.
Gradient Descent: Implement gradient descent to optimize the network's parameters and improve its accuracy.
Code Walkthrough: Follow along with our step-by-step coding demonstration using Python and NumPy.
?️ Prerequisites:

Basic knowledge of Python programming.
Familiarity with machine learning concepts is a plus but not required.
?? Who Is This For:

Beginners and intermediate-level developers interested in understanding the fundamentals of neural networks.
Python enthusiasts looking to expand their skills in deep learning.
? By the end of this tutorial, you'll have a solid understanding of the core components of a neural network and be equipped to build your own models from scratch using NumPy.

? Resources:

Code snippets and resources will be available on our GitHub repository.
Further readings and references for those who want to delve deeper into neural network concepts.
? Don't forget to subscribe, like, and hit the notification bell to stay updated with our latest tutorials! Let's embark on this coding journey together and demystify the world of neural networks. Happy coding! ?? #NeuralNetworks #DeepLearning #NumPyTutorial