Build an AI Digit Classifier! | Train a Feedforward Neural Network with Python & MNIST Dataset

Опубликовано: 10 Февраль 2025
на канале: The Don Hub
64
8

Unlock the power of Artificial Intelligence!
In this video, we build a handwritten digit classifier using a Feedforward Neural Network (FNN) and the classic MNIST dataset.

Learn how to:

Understand FNNs and MNIST
Code your own FNN in Python with TensorFlow & Keras
Train the model to recognize handwritten digits
Evaluate its performance (accuracy, precision, recall)

Perfect for beginners interested in AI and Machine Learning!

Bonus: Clear explanations, step-by-step coding walkthrough, and awesome visuals! ✨

📝 Resources:
Code snippets: https://github.com/niigyanchristian/M...


🔍 Chapters:
0:00 - Intro
0:11 - How Feedforward Neural Networks
1:30 - Import Libraries
1:45 - Load Dataset
4:23 - Normalize pixel values
5:45 - Flatten Images
7:45 - Define architecture
10:42 - Compile Model
12:10 - Train Model
14:00 - Evaluate Model
15:40 - Recap
16:55 - Outro



Activation Functions in machine learning:    • Activation Functions in neural networks  

Neural Networks:    • How neural networks revolutionize AI  

Mahcine Learning Playlist:    • Machine Learning Tutorial  

React Native Playlist:    • React Native  

HTML Tutorial for Beginners Playlist:    • HTML, CSS & JavaScript Course for Beg...  

Git and GitHub Playlist:    • Git installation  

NodeJs Todo App Platlist:    • NodeJs To-do App  



#machinelearning #artificialintelligence #python #tensorflow #keras #mnist #fnn #digitrecognition