Archive Show All34 Reinforcement_Learning9 Richard_Sutton's_Reinforcement_Learning9 computer-vision4 contrastive-learning2 deep-learning8 doctoral_research_proposal2 electricity-consumption-study1 fedavg1 federated-learning1 fedsgd1 gan1 image-processing1 northumbria-article1 object-detection1 probability-theory1 self-supervised-learning2 simclr1 statistical-analysis1 statistics2 2023 Dec 28Contrastive Learning Dec 24Image Segmentation Oct 22Activation Functions, Optimization Methods, and Loss Functions Sep 30Research Proposal May 30Research Proposal May 24Federated Learning May 13SSL - Contrastive - CPC, SimCLR Apr 05Probability Distribution Apr 05Statistical Tests 2022 Dec 14Policy Gradient Methods Dec 12Deep Q-Learning and Double Q-Learning Dec 12Object Detection Models - 2 Jul 14AutoEncoder and its Variants Jul 14Encoder-Decoder and Transformers Jul 14GANs and its variants Jun 06Evaluation Metrics Jun 06Image Transformation May 13Feature Detection and Matching May 13Basics of Image Processing May 13Object Detection Models May 13Basic Statistics May 04Deeper CNN Variants May 03Convolutional Neural Networks (CNN) May 03Monte Carlo Methods May 03N-Step Bootstrapping May 01Defunct [Failed] Statistical Project Apr 30Markov Decision Processes (MDP) Apr 30Off-Policy Prediction via Importance Sampling Apr 30Policies and Value Function Apr 29How Northumbria University helped me during Covid-19 Apr 27SARSA and Q-Learning Apr 27Temporal-Difference (TD) Learning Apr 26LSTM and GRU Apr 25Recurrent Neural Networks