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SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Last Updated: 26 June 2025

SimCLR, developed by researchers at Google Brain, is a self-supervised learning framework that learns visual representations without requiring labeled data. It is built up...read more

AI-ML-DS With Python

Reinforcement Learning with Intrinsic Motivation

Last Updated: 24 June 2025

In traditional reinforcement learning, an agent learns by receivingrewards from the environment for example, a robot gets a point for reaching a goal, or a game-playing AI...read more

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AI-ML-DS With Python

Curiosity-Driven Exploration in Reinforcement Learning

Last Updated: 25 June 2025

Curiosity-driven exploration is approach in reinforcement learning (RL) that addresses the challenge of sparse or delayed rewards by introducing internal, self-generated i...read more

AI-ML-DS With Python

Last Updated: 30 June 2025

PixelRNN is a deep generative model designed for image generation, particularly pixel-by-pixel modeling of images. The model uses Recurrent Neural Networks, a Deep Learnin...read more

Behavioral Cloning in Reinforcement Learning

Last Updated: 26 June 2025

Behavioral Cloning (BC) is a core imitation learning technique in which an agent learns to perform a task by directly imitating expert behavior. Instead of learning throug...read more

Artificial Intelligence

Soft Actor-Critic Reinforcement Learning algorithm

Last Updated: 26 June 2025

Soft Actor-Critic (SAC) is a cutting-edge, off-policy, model-free deep reinforcement learning algorithm that has set a new standard for solving complex continuous control ...read more

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Artificial Intelligence

Online and Offline Reinforcement Learning

Last Updated: 27 June 2025

Reinforcement Learning (RL) agents learn optimal behaviors by maximizing cumulative rewards through experience. The way agents acquire and use data divides RL into two maj...read more

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AI-ML-DS With Python

Attention and Memory in Deep Learning

Last Updated: 28 June 2025

In deep learning attention and memory are two important ideas that help machines understand and work with information more effectively. These ideas are inspired by how the...read more

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AI-ML-DS With Python

Inverse Reinforcement Learning

Last Updated: 26 June 2025

In traditional reinforcement learning (RL), an agent learns apolicy(behavior strategy) by maximizing aknown reward function. Inverse Reinforcement Learning reverses this i...read more

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Artificial Intelligence

Reinforcement Learning for Games

Last Updated: 27 June 2025

Reinforcement Learning (RL) has become a transformative technology in the gaming industry, powering intelligent behaviors, adaptive gameplay and even achieving superhuman ...read more

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Last Updated: 26 June 2025

Keras high-level neural networks APIs that provide easy and efficient design and training of deep learning models. It is built on top of powerful frameworks like TensorFlo...read more

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Grouped Query Attention (GQA)

Last Updated: 26 June 2025

Grouped Query Attention (GQA) is an optimization technique for transformer models that balances computational efficiency and model performance. Inspired by the multi-head ...read more

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AI-ML-DS With Python

Sequential vs Functional API in Keras

Last Updated: 26 June 2025

Keras provides two main ways to build deep learning models: the Sequential API and the Functional API. Both are part of the Keras high-level API, but they differ in terms ...read more

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AI-ML-DS With Python

Reinforcement Learning in Robotics

Last Updated: 27 June 2025

Reinforcement Learning (RL) has become a transformative approach in robotics, enabling robots to learn complex behaviors through trial and error interactions with their en...read more

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Artificial Intelligence

Variational Inference in Bayesian Neural Networks

Last Updated: 30 June 2025

Bayesian Neural Networks (BNNs) extend traditional neural networks by treating weights asprobability distributionsrather than fixed values. This approach quantifies uncert...read more

AI-ML-DS With Python

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