Policy Gradient Methods (PPO, A3C, TRPO) Start writing here... Policy Gradient Methods in Reinforcement Learning Policy Gradient Methods are a family of reinforcement learning (RL) algorithms that directly optimize the policy (the strategy t...
Reinforcement Learning with Deep Q Networks (DQN) Start writing here... Reinforcement Learning with Deep Q Networks (DQN) 🎯 What is Reinforcement Learning (RL)? Reinforcement Learning (RL) is a type of machine learning where an agent learns to make d...
Capsule Networks Start writing here... Capsule Networks (CapsNets) Explained Capsule Networks, or CapsNets , are a deep learning architecture introduced by Geoffrey Hinton and his collaborators in 2017. The primary go...
Encoder-Decoder Architectures Start writing here... Certainly! Here's an in-depth explanation of Encoder-Decoder Architectures , a fundamental concept used in various machine learning tasks, especially in natural language processi...
Transformers in NLP (BERT, GPT) Start writing here... Certainly! Here’s a comprehensive breakdown of Transformers in NLP , focusing on two of the most well-known models that revolutionized natural language processing: BERT (Bidirect...
Attention Mechanisms and Self-Attention Start writing here... Certainly! Here’s a detailed breakdown of Attention Mechanisms and Self-Attention , which are foundational concepts in modern deep learning, particularly in natural language proc...
Vision Transformers Start writing here... Absolutely! Here’s a comprehensive overview of Vision Transformers (ViTs) , a novel architecture that has revolutionized image processing in deep learning. 🧠 Vision Transformers ...
Residual and Dense Connections Start writing here... Certainly! Here's a detailed overview of Residual Connections and Dense Connections , two key concepts that have significantly advanced the design of deep neural networks. 🧠 Resi...
Convolutional Neural Networks Start writing here... Absolutely! Here’s a comprehensive and well-structured overview of Convolutional Neural Networks (CNNs) , which are a powerful class of deep learning models particularly used for...
Few-Shot and Zero-Shot Learning Start writing here... Sure! Here's a structured overview of Few-Shot Learning and Zero-Shot Learning . These approaches are essential when you have limited labeled data or no labeled data for specific...
Meta-Learning Start writing here... Absolutely! Here's a structured and easy-to-understand breakdown of Meta-Learning , perfect for study notes, presentations, or deep learning. 🔄 Meta-Learning (Learning to Learn) ...
Active Learning Start writing here... Absolutely! Here’s a clear and complete breakdown of Active Learning — perfect for study notes, teaching slides, or practical understanding. ⚡️ Active Learning 🧠 What Is Active L...