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 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 Building a PyTorch Training Loop with nn.Module, Dataset, and DataLoader ByJu Yeon Eum June 30, 2025September 8, 2026
Deep Learning PyTorch Tensors and Autograd for People Who Wrote Backprop by Hand ByJu Yeon Eum June 28, 2025September 8, 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 Weight Initialization and Gradient Flow in Deep Networks ByJu Yeon Eum May 14, 2025September 8, 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 8, 2026
Deep Learning Neural Networks for Beginners: From Architecture to Forward Propagation ByJu Yeon Eum April 10, 2025September 8, 2026
