🔥 Deep Learning Practical 2 | Multiclass + Binary Classification (OCR + IMDB) |SPPU BE COMPUTER

🚀 Deep Learning Practical 2 | SPPU BE Computer Engineering

Is video me humne Deep Learning (DNN) ka Practical 2 complete cover kiya hai jisme humne end-to-end Multiclass aur Binary Classification implement kiya hai with full explanation.

CODE LINK :- https://github.com/gyaansandhi-max/deep-learning-practical

📌 🧠 What you will learn in this video:
🔹 1. Multiclass Classification (OCR Letter Recognition)
A-Z letters (26 classes) prediction using Deep Neural Network
Letter Recognition Dataset (UCI ML Repository)
Input features: 16 numerical values
Output: 26 classes (A to Z)
Activation: ReLU + Softmax
Loss: Sparse Categorical Crossentropy

👉 Real-world use: Handwritten character recognition

🔹 2. Binary Classification (IMDB Movie Reviews)
Movie reviews sentiment analysis (Positive / Negative)
IMDB dataset (10,000 words vocabulary)
Embedding layer for text processing
Output: Sigmoid (0 to 1 probability)
Loss: Binary Crossentropy

👉 Real-world use: Sentiment Analysis in NLP

📊 Key Concepts Covered:

✔ Deep Neural Networks (DNN)
✔ Multiclass Classification
✔ Binary Classification
✔ Softmax vs Sigmoid
✔ Embedding Layer
✔ NLP Sentiment Analysis
✔ OCR Letter Recognition
✔ Model Training & Evaluation
✔ Prediction Output Interpretation

🧾 Output Understanding:
Multiclass → A-Z prediction using probability distribution
Binary → Positive / Negative sentiment using sigmoid output
Prediction values explained in detail with real examples
🎯 Why this video is important?

This is SPPU BE Computer Deep Learning Practical 2, fully explained step-by-step in simple way so that you can easily write in exam + explain in viva.

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Видео 🔥 Deep Learning Practical 2 | Multiclass + Binary Classification (OCR + IMDB) |SPPU BE COMPUTER канала Gyaan Sandhi