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🔢 Build an ANN Model for MNIST Digit Classification | Neural Network in Python #chatgpt #coding

Welcome to this hands-on tutorial where we build an Artificial Neural Network (ANN) from scratch to classify handwritten digits using the popular MNIST dataset!

🚀 What you'll learn in this video:
- Introduction to the MNIST dataset
- Data preprocessing and normalization
- Building an ANN using TensorFlow/Keras
- Training and evaluating the model
- Predicting handwritten digits

This is a beginner-friendly machine learning project perfect for understanding how neural networks work in image classification.

📌 Tools Used:
- Python
- TensorFlow / Keras
- NumPy
- Matplotlib (for visualization)

🔍 Dataset: MNIST - 70,000 handwritten digit images (0–9)

👨‍💻 Code and Explanation: Step-by-step guide for building and training the model

📈 Accuracy Achieved: [Insert your accuracy here]

👉 Don't forget to like, share, and subscribe for more AI/ML tutorials!

#ArtificialNeuralNetwork #MNIST #DigitClassification #PythonML #DeepLearning

🎓 For more tutorials and projects, stay tuned and comment below what you want next!

Видео 🔢 Build an ANN Model for MNIST Digit Classification | Neural Network in Python #chatgpt #coding канала VashuTheGreat
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