Working with PyTorch
PyTorch is an open-source machine learning and deep learning framework developed by Facebook AI. It provides dynamic computation graphs, making it easier to modify models during runtime. PyTorch is widely….
Tag: Neural Networks
Working with TensorFlow
TensorFlow is an open-source machine learning and deep learning framework developed by Google. It allows developers to build, train, and deploy AI models efficiently. It supports both CPU and GPU….
Introduction to Neural Networks
A Neural Network is a computational model inspired by the human brain. It consists of layers of interconnected neurons that process input data to learn patterns and make predictions. Neural….
Reinforcement Learning Basics
Reinforcement Learning Basics: A Detailed Overview Reinforcement Learning (RL) is a type of machine learning where an agent learns how to behave in an environment by performing actions and receiving….
Generative Adversarial Networks (GANs)
Generative Adversarial Networks (GANs): A Comprehensive Overview Generative Adversarial Networks (GANs) have revolutionized the field of machine learning by offering a way to generate realistic data, including images, text, and….
Autoencoders for Anomaly Detection
Autoencoders for Anomaly Detection: A Detailed Overview Autoencoders are unsupervised neural network models used for data compression and reconstruction. They have become a highly effective tool in anomaly detection tasks,….
Transformers in Deep Learning
Transformers in Deep Learning: A Detailed Explanation Transformers have revolutionized the field of deep learning, especially in Natural Language Processing (NLP), by providing a highly parallelizable and scalable architecture for….
Long Short-Term Memory Networks (LSTMs)
Long Short-Term Memory Networks (LSTMs): Detailed Explanation Long Short-Term Memory Networks (LSTMs) are a specialized type of Recurrent Neural Networks (RNNs) that are specifically designed to overcome the limitations of….
Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs): Detailed Explanation Recurrent Neural Networks (RNNs) are a class of neural networks designed for processing sequences of data. Unlike traditional feedforward neural networks, RNNs are designed….
Convolutional Neural Networks (CNNs)
Convolutional Neural Networks (CNNs): Detailed Explanation Convolutional Neural Networks (CNNs) are a class of deep neural networks specifically designed to work with grid-like data, such as images, audio, and video…..