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47 posts

Fourier Analysis Networks

Last Updated: 13 June 2025

Fourier Analysis Networks is a class of models that integrate principles from signal processing, particularly the Fourier Transform to enhance learning efficiency, general...read more

AI-ML-DS With Python

Multi-Objective Optimization for Deep Learning : A Guide

Last Updated: 17 June 2025

Deep learning models are often expected to deliver performance on multiple fronts like accuracy, speed, fairness or compliance with physical laws. These requirements frequ...read more

AI-ML-DS With Python

Reinforcement Learning for Inventory Management

Last Updated: 26 June 2025

Reinforcement Learning (RL) presents a powerful alternative as a branch of machine learning RL enables systems to learn optimal decision making policies through trial and ...read more

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Artificial Intelligence

Contrastive Learning with SimCLR in PyTorch

Last Updated: 25 June 2025

SimCLR (Simple Framework for Contrastive Learning of Visual Representations) is a self-supervised learning approach that learns powerful image representations without labe...read more

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AI-ML-DS With Python

Neural Style Transfer in Keras

Last Updated: 26 June 2025

Neural Style Transfer (NST) is a fascinating deep learning technique that blends two images a content image and a style image to create a new, synthesized image that maint...read more

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AI-ML-DS With Python

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

NLP with Deep Learning

Last Updated: 28 June 2025

Natural Language Processing (NLP) is a subfield of AI focused on making machines to understand, interpret, generate and respond to human language. Deep Learning (DL) invol...read more

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Natural-language-processing

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

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

Building a Custom Training Loop with Autograd

Last Updated: 01 July 2025

Autograd is PyTorch’s automatic differentiation engine. It allows you to compute gradients automatically by tracking operations on tensors. Training machine learning model...read more

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Artificial Intelligence