Deep Learning Deep Reinforcement Learning: MDPs, DQN, Policy Gradients, and PPO ByJu Yeon Eum January 10, 2026September 9, 2026
Deep Learning Graph Neural Networks: Message Passing, GCN, GAT, and GraphSAGE ByJu Yeon Eum November 6, 2025September 8, 2026
Deep Learning Adversarial Robustness: Attacks, Defenses, and the Robustness Trade-off ByJu Yeon Eum November 2, 2025September 15, 2026
Deep Learning Uncertainty Estimation and Model Calibration in Deep Learning ByJu Yeon Eum October 31, 2025September 15, 2026
Deep Learning Interpretability: Saliency, Grad-CAM, Probing, and Circuits ByJu Yeon Eum October 4, 2025September 15, 2026
Deep Learning Model Compression and Deployment: Distillation, Pruning, and Serving ByJu Yeon Eum August 26, 2025September 15, 2026
Deep Learning LLM Inference Optimization: KV Cache, FlashAttention, and Quantization ByJu Yeon Eum August 25, 2025September 15, 2026
Deep Learning Neural Style Transfer: Feature Visualization, Gram Matrices, and Optimization ByJu Yeon Eum August 13, 2025September 8, 2026
Deep Learning Self-Supervised Learning: SimCLR, BYOL, MAE, and CLIP ByJu Yeon Eum August 12, 2025September 8, 2026
Deep Learning Diffusion Models Explained: DDPM, Samplers, and Guidance ByJu Yeon Eum August 11, 2025September 8, 2026
Deep Learning Generative Adversarial Networks: Minimax, WGAN-GP, and Training Stability ByJu Yeon Eum August 9, 2025September 8, 2026
Deep Learning Variational Autoencoders: ELBO, Reparameterization, and Latent Space ByJu Yeon Eum August 7, 2025September 8, 2026
Deep Learning Building a Transformer Language Model in PyTorch ByJu Yeon Eum August 3, 2025September 8, 2026
Deep Learning Transformers from Scratch: Self-Attention to Encoder–Decoder ByJu Yeon Eum July 29, 2025September 8, 2026
Deep Learning Sequence-to-Sequence Models and Attention Explained ByJu Yeon Eum July 27, 2025September 8, 2026
Deep Learning Word Embeddings: Word2Vec, Negative Sampling, GloVe, and Bias ByJu Yeon Eum July 25, 2025September 8, 2026
Deep Learning RNN, GRU, and LSTM: A Complete Guide to Recurrent Networks ByJu Yeon Eum July 23, 2025September 8, 2026
Deep Learning Face Recognition and Metric Learning: Siamese Networks, Triplet Loss, ArcFace ByJu Yeon Eum July 21, 2025September 8, 2026
Deep Learning Vision Transformers and Modern Vision Models ByJu Yeon Eum July 19, 2025September 8, 2026
Deep Learning Object Detection: Localization, YOLO, IoU, NMS, and R-CNN ByJu Yeon Eum July 15, 2025September 8, 2026
Deep Learning Image Classification in Practice: Transfer Learning and Augmentation ByJu Yeon Eum July 13, 2025September 8, 2026
Deep Learning CNN Architectures Compared: LeNet to EfficientNet ByJu Yeon Eum July 11, 2025September 8, 2026
Deep Learning CNN Fundamentals: From Convolution to Image Classification ByJu Yeon Eum July 9, 2025September 8, 2026
Deep Learning Data Mismatch, Transfer Learning, and Multitask Learning ByJu Yeon Eum July 7, 2025September 15, 2026
Deep Learning A Systematic Strategy for Improving Machine Learning Models ByJu Yeon Eum July 6, 2025September 15, 2026
Deep Learning GPU Training: Mixed Precision, Gradient Accumulation, and Profiling ByJu Yeon Eum July 3, 2025September 15, 2026
Deep Learning Reproducible Training Pipelines: Seeds, Configs, and Checkpoints ByJu Yeon Eum July 1, 2025September 15, 2026
Deep Learning Building a PyTorch Training Loop with nn.Module, Dataset, and DataLoader ByJu Yeon Eum June 30, 2025September 15, 2026
Deep Learning PyTorch Tensors and Autograd for People Who Wrote Backprop by Hand ByJu Yeon Eum June 28, 2025September 8, 2026
Deep Learning A Hyperparameter Tuning Strategy That Fits Your Budget ByJu Yeon Eum June 24, 2025September 15, 2026
Deep Learning Normalization Layers Explained: BatchNorm, LayerNorm, GroupNorm, RMSNorm ByJu Yeon Eum June 20, 2025September 8, 2026
Deep Learning Learning Rate Schedules and Warmup in Deep Learning ByJu Yeon Eum June 18, 2025September 8, 2026
Deep Learning Deep Learning Optimizers: Mini-Batch, Momentum, RMSprop, and Adam ByJu Yeon Eum May 22, 2025September 8, 2026
Deep Learning Gradient Checking and a Systematic Debugging Method for Neural Networks ByJu Yeon Eum May 16, 2025September 15, 2026
Deep Learning Weight Initialization and Gradient Flow in Deep Networks ByJu Yeon Eum May 14, 2025September 8, 2026
Deep Learning Diagnosing and Preventing Overfitting in Deep Learning ByJu Yeon Eum May 13, 2025September 15, 2026
Deep Learning Loss Function Design: Choosing an Objective That Matches the Problem ByJu Yeon Eum May 10, 2025September 8, 2026
Deep Learning Logistic Regression: A Complete Guide to Binary Classification ByJu Yeon Eum May 9, 2025September 8, 2026
Deep Learning Softmax and Multiclass Classification Explained ByJu Yeon Eum May 8, 2025September 8, 2026
Deep Learning Deep Neural Networks: Architecture and Backpropagation ByJu Yeon Eum May 6, 2025September 8, 2026
Deep Learning Building a Shallow Neural Network with NumPy ByJu Yeon Eum April 29, 2025September 8, 2026
Deep Learning NumPy Vectorization and Broadcasting for Neural Networks ByJu Yeon Eum April 22, 2025September 8, 2026
Deep Learning Derivatives and Computation Graphs for Neural Network Learning ByJu Yeon Eum April 15, 2025September 15, 2026
Deep Learning Neural Networks for Beginners: From Architecture to Forward Propagation ByJu Yeon Eum April 10, 2025September 8, 2026
Deep Learning Probability and Information Theory for Deep Learning ByJu Yeon Eum April 9, 2025September 15, 2026
Deep Learning Linear Algebra for Deep Learning: Only What You Actually Need ByJu Yeon Eum April 8, 2025September 15, 2026
Deep Learning Python and NumPy Basics for Deep Learning ByJu Yeon Eum February 5, 2025September 15, 2026
