A complete end-to-end playlist on Deep Learning where topics like ANN, CNN, and RNN are covered.
Curated by: CampusX (84 videos)
Learn about the Vanishing and Exploding Gradient Problems in Artificial Neural Networks (ANNs) with practical code examples. Understand the challenges and solutions for training deep networks effectively. Improve your grasp on these important concepts in neural network training. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes Code - https://colab.research.google.com/drive/1j1qAWzo6sjNU3f_vkMMijOAuFi1JoV8p?usp=sharing ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 👍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✨ #GradientProblems #NeuralNetworks #codeexamples ⌚Time Stamps⌚ 00:00 - Intro 01:11 - Vanishing Gradient Problem 12:20 - Code Demo 18:00 - How to handle VG problem 20:17 - Code Demo 23:18 - RELU Activation function 25:27 - Code Demo 27:28 - Weight Initialization Techniques 28:11 - Batch Normalization 28:34 - Residual Network 31:51 - Outro