02. Gradient Descent | Neural Network Optimization

How Neural Networks Actually Learn - Neural Network Optimization Discover what really happens inside a neural network during training. This hands-on series goes beyond high-level explanations to reveal how optimization works under the hood—from gradients and backpropagation to SGD, Momentum, RMSProp, Adam, learning rate schedules, Batch Normalization, gradient clipping, and residual connections. Every episode combines intuitive animations, mathematical intuition, practical code examples, and real computed outputs to help you understand how neural networks actually learn, not just how to call .fit(). You'll build optimization algorithms from scratch, visualize gradient descent on real loss landscapes, diagnose vanishing and exploding gradients, compare optimizers, and finish by training a complete neural network while interpreting every stage of the learning process. Whether you're learning deep learning for the first time or want to truly understand what happens inside .backward() and optimizer.step(), this course will give you the intuition needed to read, debug, and improve modern neural networks. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 Google Colab (Runs in Your Browser — No Setup) 📓 Open the Optimization Notebook: https://colab.research.google.com/git... 💻 Complete Course Code: https://github.com/kader-xai/ml-cours... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 Complete AI Learning Roadmap 🎓 Machine Learning Series    • Machine Learning Series   📘 Scikit-Learn Series    • SciKit Learn Series   🔥 PyTorch: Build Your Own GPT    • Pytorch : Build your own GPT   ⚡ TensorFlow from Scratch    • Tensor Flow from scratch   🤗 Hugging Face Transformers    • Hugging Face Transformers   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌐 Connect With Me 💼 LinkedIn   / kader-xai   𝕏 (Twitter) https://x.com/kaderxai 🐙 GitHub https://github.com/kader-xai ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎵 Music "Reflections" by Vincent Rubinetti from The Music of 3Blue1Brown (2018) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ #DeepLearning #Optimization #NeuralNetworks #Backpropagation #GradientDescent #SGD #Momentum #RMSProp #Adam #GradientClipping #BatchNormalization #ResidualNetworks #LearningRate #PyTorch #TensorFlow #MachineLearning #ArtificialIntelligence #Python #AI #DeepLearningCourse