DL Notebooks 🎓🤖

Welcome to my repository! Here, you'll find various notebooks demonstrating essential AI and Machine Learning concepts. Each notebook dives into a different model or technique, providing practical insights and hands-on examples. 🚀

What's Inside? 🔍

1. Transformers for NLP & More
   Explore the powerful Transformer architecture! 🧠✨ This model revolutionized the world of Natural Language Processing and more with its self-attention mechanism. Perfect for handling sequential data across many domains.

2. Classifying Images with Transformers 🖼️🔎
   Take a deep dive into Vision Transformers (ViT), where image classification is tackled without convolutional layers. See how Transformers can bring top-tier performance to image-based tasks.

3. Word Embeddings Explained ✍️🔡
   Discover how to represent words as vectors! 🌍 In this notebook, you'll learn about word embeddings like Word2Vec, and how they help capture the semantic meaning behind words in Natural Language Processing.

4. Understanding Spectrograms 🎶🔊
   Get a visual look at sound! 🎧 This notebook teaches you how to convert audio signals into spectrograms, an essential technique for speech and audio recognition tasks.

5. Audio Classification with VGGish 🎼🗣️
   Implement the VGGish model for audio classification tasks! This notebook walks you through using a pre-trained model for feature extraction and sound event detection using a sample audio.