10 - Explainable AI (XAI): SHAP, LIME, and Model Interpretability
Understand how models make decisions: feature importance, SHAP values, LIME explanations. Why XAI matters: compliance (GDPR right to explanation), fai
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Articles tagged with #deep-learning
Understand how models make decisions: feature importance, SHAP values, LIME explanations. Why XAI matters: compliance (GDPR right to explanation), fai
Deploy deep learning on smartphones, IoT, microcontrollers: quantization, pruning, knowledge distillation. TensorFlow Lite, ONNX, TVM. Trade-off: accu
Master modern transfer learning: BERT for understanding, GPT for generation. Fine-tuning, prompt engineering, retrieval-augmented generation (RAG). Wh
Learn how agents learn from rewards: Markov Decision Processes, Q-learning, Deep Q-Networks (DQN), Policy Gradient, Proximal Policy Optimization (PPO)
Understand the models that generate DALL-E and Stable Diffusion images: diffusion process (noise → data), reverse process (noise → image). Conditionin
Discover how GANs generate realistic data: two networks in competition (generator vs discriminator). Applications: synthetic images, data augmentation