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Tag: Hyperparameters

Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. ...

Using Lightning AI Studio For Free – KDnuggets

Image by Author  In this post, we will be learning about a new Cloud IDE that is both free and user-friendly. It is an...

What is MobileNetV2? Features, Architecture, Application and More

Introduction When it comes to image classification, the nimble models capable of efficiently processing images without compromising accuracy are essential. MobileNetV2 has emerged as a...

What is Adam Optimizer and How to Tune its Parameters in PyTorch

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and...

Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services

Customers are faced with increasing security threats and vulnerabilities across infrastructure and application resources as their digital footprint has expanded and the business impact...

Experience the new and improved Amazon SageMaker Studio | Amazon Web Services

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and...

ChatGPT’s Code Interpreter: GPT-4 Advanced Data Analysis for Data Scientists

Introduction ChatGPT is a powerful language model developed by OpenAI that has taken the world by storm with its ability to understand and conversationally respond...

Exploring Pointwise Convolution in CNNs: Replacing Fully Connected Layers

Introduction Convolutional Neural Networks (CNNs) have been key players in understanding images and patterns, transforming the landscape of deep learning. The journey began with Yan...

Text-to-Image Revolution: Segmind’s SD-1B Model Emerges as the Fastest in the Game

Introduction Segmind AI has proudly presented SSD-1B (Segmind Stable Diffusion 1B), a groundbreaking open-source text-to-image revolution of generative model. This lightning-fast model sets unprecedented speed,...

KT’s journey to reduce training time for a vision transformers model using Amazon SageMaker | Amazon Web Services

KT Corporation is one of the largest telecommunications providers in South Korea, offering a wide range of services including fixed-line telephone, mobile communication, and...

A Comprehensive Guide to Train-Test-Validation Split in 2023

Introduction A goal of supervised learning is to build a model that performs well on a set of new data. The problem is that you...

Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning | Amazon Web Services

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up...

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