Learn Deep Learning & Generative AI (Beginner to Advanced)

About this lesson

The complete journey — from your very first neuron to building and using generative AI. Four series, in plain language, with runnable code throughout. Inside this complete guide: 1. Neural Network Fundamentals • Perceptrons & multilayer networks • Backpropagation — how networks learn • Regularization — helping them generalize 2. Advanced Architectures • CNNs — how machines see • RNNs & LSTMs — how machines remember • Case study — predictive maintenance 3. Transformers & Large Language Models • The attention mechanism, explained • BERT, GPT & Vision Transformers • Prompt engineering & fine-tuning 4. Generative Models • GANs, VAEs & diffusion models • Text-to-image & multimodal AI • Case study — AI content in marketing 👉 Watch each one separately here: - Neural Network Fundamentals: https://youtu.be/Ug0y1HVgzRc - Advanced Architectures: https://youtu.be/928THllhfV0 - Transformers & Large Language Models: https://youtu.be/rGSxbSzQK_g - Generative Models: https://youtu.be/MDWg3GuaSeQ Whether you're a student or a working professional, by the end you'll understand how modern AI works — and how to build with it. If this helped, a like and subscribe go a long way. And tell me in the comments: which part do you want to go deeper on? #DeepLearning #GenerativeAI #MachineLearning

Original Description