Mlearning.ai

MARCH 31, 2023

In this story, we talk about how to build a Deep Learning Object Detector from scratch using TensorFlow. Most of machine learning projects fit the picture above Once you define these things, the training is a cat-and-mouse game where you need “only” tuning the training hyperparameters in order to achieve the desired performance.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

Heartbeat

AUGUST 21, 2023

AlexNet significantly improved performance over previous approaches and helped popularize deep learning and CNNs. GoogLeNet: is a highly optimized CNN architecture developed by researchers at Google in 2014. The data should be split into training, validation, and testing sets.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning ML 52

AWS Machine Learning Blog

JULY 13, 2023

Recent years have shown amazing growth in deep learning neural networks (DNNs). International Conference on Machine Learning. On large-batch training for deep learning: Generalization gap and sharp minima.” Toward understanding the impact of staleness in distributed machine learning.” PMLR, 2018. [2]

Clustering 73

Clustering Algorithm Deep Learning Deep Learning 73

AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Improve the quality and time to market for deep learning models in diagnostic medical imaging.

AWS 107

AWS ML ML AI 107

ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. Open Source ML/DL Platforms: Pytorch, Tensorflow, and scikit-learn Hiring managers continue to favor the most popular open-source machine/deep learning platforms including Pytorch, Tensorflow, and scikit-learn.

Data Science 52

Data Science Machine Learning Machine Learning AI 52