Belajar Deep Learning

Belajar Deep Learning dari dasar hingga production-grade: pre-requisites skill & setup environment, sejarah & mengapa mendalaminya, neural network fundamentals, PyTorch dasar tensors & autograd, Keras 3 & TensorFlow dasar, MLP klasifikasi & regression, optimization & regularization, CNN computer vision, transfer learning & pretrained models, data pipeline dataset & dataloader & augmentation, object detection & segmentation, RNN LSTM & sequence data, transformer arsitektur & attention, training GPU & distributed training, experiment tracking & hyperparameter tuning, NLP modern tokenizer embeddings & LLM dasar, fine-tuning LLM PEFT & LoRA, AI security, generative models GAN VAE & diffusion, optimisasi inference quantization & pruning, deployment & serving model, multimodal & foundation models, reinforcement learning & agentic, ekosistem & tren modern 2026, hingga roadmap karir & refleksi akhir dengan total 25 episode.