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In this video, I'll guide you through weight initialization techniques in neural networks and highlight what NOT to do. From common mistakes to misconceptions, I'll help you navigate the dos and don'ts in optimizing your network's performance. Digital Notes for Deep Learning: https://shorturl.at/NGtXg 🧑💻Code: https://colab.research.google.com/dri... https://colab.research.google.com/dri... Viz Tool: https://www.deeplearning.ai/ai-notes/... ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: / campusx-official CampusX on Instagram for daily tips: / campusx.official My LinkedIn: / nitish-singh-03412789 Discord: / discord 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ✨ Hashtags✨ #WeightInitialization #DeepLearningTips #NeuralNetworks ⌚Time Stamps⌚ 00:00 - Intro 01:02 - Why weight initialization is important? 04:31 - Case 1 11:16 - Code Example 14:25 - Sigmoid 23:47 - Code Example 26:52 - Case 2 30:34 - Code Example 32:08 - Case 3 41:04 - Code Example 42:43 - RELU 43:55 - Random Initialization (Large Values) 49:07 - Outro