2016, AWS and Deep Learning - Data Science Current

TensorFlow vs. PyTorch: What’s Better for a Deep Learning Project?

Towards AI

AUGUST 8, 2024

Photo by Marius Masalar on Unsplash Deep learning. A subset of machine learning utilizing multilayered neural networks, otherwise known as deep neural networks. If you’re getting started with deep learning, you’ll find yourself overwhelmed with the amount of frameworks. Let’s answer that question.

Deep Learning

Deep Learning Deep Learning Machine Learning Machine Learning

Top 10 Deep Learning Platforms in 2024

DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

Deep Learning

Deep Learning Deep Learning Machine Learning Machine Learning

Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning Blog

APRIL 16, 2024

It employs advanced deep learning technologies to understand user input, enabling developers to create chatbots, virtual assistants, and other applications that can interact with users in natural language. Version control – With AWS CloudFormation, you can use version control systems like Git to manage your CloudFormation templates.

AWS

AWS Deep Learning Deep Learning Artificial Intelligence

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Marketing Operations in 2025: A New Framework for Success

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Reinventing a cloud-native federated learning architecture on AWS

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to train a model with data from different regions, organizations, or AWS accounts. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets.

AWS

AWS ML ML Algorithm

A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. Thirdly, the presence of GPUs enabled the labeled data to be processed.

AWS

AWS ML ML Clustering

Announcing the Keynote Speakers for ODSC West 2024: Experts from NVIDIA, Google, and More!

ODSC - Open Data Science

OCTOBER 4, 2024

His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep reinforcement learning algorithms. Sign me up!

Data Science

Data Science Machine Learning Machine Learning Algorithm

Comparative Analysis: PyTorch vs TensorFlow vs Keras

Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. By understanding their unique features and capabilities, you’ll make informed decisions for your Deep Learning applications.

Deep Learning

Deep Learning Deep Learning Machine Learning Machine Learning

HAYAT HOLDING uses Amazon SageMaker to increase product quality and optimize manufacturing output, saving $300,000 annually

AWS Machine Learning Blog

MARCH 29, 2023

Input data is streamed from the plant via OPC-UA through SiteWise Edge Gateway in AWS IoT Greengrass. During the prototyping phase, HAYAT HOLDING deployed models to SageMaker hosting services and got endpoints that are fully managed by AWS. Take advantage of industry-specific innovations and solutions using AWS for Industrial.

ML

ML ML AWS Machine Learning

Here are the First Speakers for the AiX Business Summit This Fall

ODSC - Open Data Science

SEPTEMBER 22, 2023

He is responsible for defining and leading the business that extends the company’s semantic layer platform to address the rapidly expanding set of Enterprise AI and machine learning applications. At AWS, he pioneered Macie, one of the company’s leading security services.

Machine Learning

Machine Learning Machine Learning Data Science ML

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. The Companys net income attributable to the Company for the year ended December 31, 2016 was $4,816,000, or $0.28

ML

ML ML Deep Learning Deep Learning

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. The Companys net income attributable to the Company for the year ended December 31, 2016 was $4,816,000, or $0.28

ML

ML ML Deep Learning Deep Learning

Best Practices for Managing Computer Vision Projects

DagsHub

MARCH 19, 2024

According to the Deep Learning book by Goodfellow, Bengio, and Courville, as of 2016, a rough rule of thumb is that a supervised deep learning algorithm typically needs about 5,000 labeled examples per category for acceptable performance. Gather enough data for training, validation, and testing of the models.

Algorithm

Algorithm Deep Learning Deep Learning Data Engineering

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning

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.” arXiv preprint arXiv:1609.04836 (2016). [3] PMLR, 2018. [2] 2] Keskar, Nitish Shirish, et al. “On

Clustering

Clustering Algorithm Deep Learning Deep Learning

Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium

AWS Machine Learning Blog

JANUARY 17, 2024

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. In this post, we demonstrate how to deploy and fine-tune Llama 2 on Trainium and AWS Inferentia instances in SageMaker JumpStart.

AWS

AWS Python Machine Learning Machine Learning

Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads

AWS Machine Learning Blog

MAY 10, 2023

Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter. In parallel to these open-source contributions, we have AWS product teams who are working to integrate Jupyter with products such as Amazon SageMaker.

AWS

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Data Science Current

TensorFlow vs. PyTorch: What’s Better for a Deep Learning Project?

Top 10 Deep Learning Platforms in 2024

Webinars

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Manage your Amazon Lex bot via AWS CloudFormation templates

Webinars

Reinventing a cloud-native federated learning architecture on AWS

A review of purpose-built accelerators for financial services

Announcing the Keynote Speakers for ODSC West 2024: Experts from NVIDIA, Google, and More!

Comparative Analysis: PyTorch vs TensorFlow vs Keras

HAYAT HOLDING uses Amazon SageMaker to increase product quality and optimize manufacturing output, saving $300,000 annually

Here are the First Speakers for the AiX Business Summit This Fall

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

Best Practices for Managing Computer Vision Projects

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning

Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium

Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads

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