You Don't Understand Attention Until You Code It (Python Walkthrough) | Part-2 скачать в хорошем качестве

You Don't Understand Attention Until You Code It (Python Walkthrough) | Part-2

In this video, we move beyond the whiteboard and jump into the Google Colab. I will walk you through implementing the Self-Attention Mechanism from scratch using Python and NumPy. We won't just talk about "Queries, Keys, and Values"—we will actually code the vectors, calculate the dot products, and build the heatmap to see how the AI "thinks." We will debug a real example (the sentence: "The animal didn't cross...") and see why an untrained network gets confused, and how the math fixes it. 💻 What we code in this video: Step 1: Creating Mock Embeddings for words like "it", "animal", and "street". Step 2: Implementing the Scaled Dot-Product Attention formula: Attention(Q,K,V)=softmax(dk​​QKT​)V Step 3: The "Teacher Hack": How to manually guide vectors to visualize relationships. Step 4: Generating the Heatmap using Seaborn to visualize the AI's focus. 🔗 Resources & Source Code: 👉 Download the Final Python Script (attention_visualizer.py): https://navikonline.in/ 📄 Read the Original Research Paper ("Attention Is All You Need"): https://arxiv.org/abs/1706.03762 👨‍💻 About Me: Hi, I'm Vijay Krishna N. I bridge the gap between Humans and Machines by teaching complex tech concepts simply. From Electronics to Coding, I make the invisible visible. Hashtags: #Python #AI #DeepLearning #CodeWalkthrough #Transformers #SelfAttention #MachineLearning #NumPy #DataScience #NavikOnline #CodingTutorial #LLM