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Ensemble-Machine-Learning
Ensemble machine learning is a powerful technique that leverages the strengths of multiple weak learning models, also known as...
Neural Network
Activation functions are the main components of neural network nodes. This article examines the various types of activation functions...
regularization
Regularization is a technique used in Machine Learning and Deep Learning models to prevent overfitting. This paper introduces L1,...
Machine Learning Engineers Should Use Docker
Docker is a platform that enables developers to easily create, deploy, and run applications in containers, and has gained...
TPU-GPU-CPU
In this paper, we compare the performance of CPU, GPU, and TPU processors to see which one is better...
History of AI
In the second part of a series of articles about the history of artificial intelligence, we look at important...
computer vision datasets
This article reviews famous datasets in the field of computer vision. ...
Dataset-Development-Lifecycle copy
Google has come up with a framework for data collection inspired by software development concepts in a 5-step cyclical...
From NLP to Computer Vision
In this article, we discuss the Attention mechanism and trace its history of use from natural language processing to...
TensorRT
TensorRT is a library developed by NVIDIA for faster inference on NVIDIA graphics processing units (GPUs). It can improve...