PyImageSearch

OCTOBER 16, 2023

This lesson is the last of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning Setting Up a GPU Development Environment Using Docker (this tutorial) To learn how to set up your GPU development environment, just keep reading.

Computer Vision 128

Computer Vision Deep Learning Machine Learning Artificial Intelligence 128

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. Visualizations are great for monitoring training runs and diagnosing issues.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Towards AI

AUGUST 27, 2023

A step-by-step tutorial on training state-of-the-art AI models with MMdetection 3.1, Terminal output of a running training process with MMDetection If you want to train neural networks, you can use the popular deep learning libraries TensorFlow or PyTorch. CVAT, and TensorBoard This member-only story is on us.

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Neural Network Deep Learning AI Modeling AI 92

Heartbeat

NOVEMBER 29, 2023

Two names stand out prominently in the wide realm of deep learning: TensorFlow and PyTorch. These strong frameworks have changed the field, allowing researchers and practitioners to create and deploy cutting-edge machine learning models. Here, TensorFlow and PyTorch reveal their distinctive approaches.

Deep Learning 59

Deep Learning Neural Network Machine Learning Python 59

AssemblyAI

AUGUST 27, 2023

Choosing the best Speech-to-Text API , AI model, or open source engine to build with can be challenging. You’ll need to compare accuracy, model design, features, support options, documentation, security, and more. Or simply want to play around with an API or AI model or test an API before committing to building with one?

AI Modeling 246

AI Modeling AI AI Python 246

ODSC - Open Data Science

FEBRUARY 8, 2024

Deep Learning with PyTorch and TensorFlow Dr. Jon Krohn | Chief Data Scientist | Nebula.io Jon Krohn, for an immersive introduction to Deep Learning that brings high-level theory to life with interactive examples featuring all three of the principal Python libraries, PyTorch, TensorFlow 2, and Keras.

Large Language Models 52

Large Language Models Big Data Deep Learning Data Science 52

AWS Machine Learning Blog

FEBRUARY 1, 2023

Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. Although larger models tend to be more powerful, training such models requires significant computational resources.

Deep Learning 89

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PyImageSearch

JULY 24, 2023

Configuring Your Development Environment Let’s Talk about Keras! In this tutorial, you will learn about Keras Core , the new Keras Team repository that allows switching from the Keras backend to TensorFlow , PyTorch , and JAX. To learn how to navigate the Keras Core library, just keep reading.

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Computer Vision Deep Learning Machine Learning Neural Network 98

ODSC - Open Data Science

MARCH 11, 2024

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

Responsible AI 52

Responsible AI Deep Learning Data Science Machine Learning 52

PyImageSearch

OCTOBER 2, 2023

Home Table of Contents A Deep Dive into Variational Autoencoder with PyTorch Introduction Comparison with Convolutional Autoencoder Architecture Latent Space Loss Function Why Does VAE Stand Out? As the tutorial progresses, you’ll delve into setting up prerequisites, crafting utilities, and designing the VAE network.

Computer Vision 120

Computer Vision Deep Learning Neural Network Auto-complete 120

AWS Machine Learning Blog

MAY 23, 2024

Mixture of Experts (MoE) architectures for large language models (LLMs) have recently gained popularity due to their ability to increase model capacity and computational efficiency compared to fully dense models. Despite their computational benefits, training and fine-tuning large MoE models efficiently presents some challenges.

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Large Language Models Software Development Deep Learning Artificial Intelligence 100

PyImageSearch

FEBRUARY 19, 2024

vs. Gemini Pro for Image Classification Summary and Key Takeaways Citation Information Image Classification with Gemini Pro In this tutorial, you’ll learn how to use the Gemini Pro generative model with the Google AI Python SDK (software development kit) to generate code for image classification in PyTorch.

Computer Vision 60

Computer Vision ChatGPT Deep Learning Python 60

ODSC - Open Data Science

JANUARY 1, 2024

Over the years, ODSC has developed a close relationship with them, working together to host webinars, write blogs, and even collaborate on sessions at ODSC conferences. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

Data Science 52

Data Science Machine Learning Deep Learning Large Language Models 52

Flipboard

JULY 10, 2023

Dimensionality Reduction Feature Learning Anomaly Detection Denoising Images Image Inpainting Generative Modeling Recommender Systems Sequence-to-Sequence Learning Image Segmentation How Are Autoencoders Different from GANs? With the story analogy in mind, let’s now develop a technical understanding of Autoencoders.

Computer Vision 110

Computer Vision Deep Learning Neural Network Machine Learning 110

ODSC - Open Data Science

MAY 19, 2023

Google AI Unveils JaxPruner: A Powerful Open-Source Library for Pruning and Sparse Training in Machine Learning Google AI has released an open-source pruning and sparse training library for machine learning researchers called JaxPruner. This distinguishes it from well-known deep learning frameworks like PyTorch and TensorFlow.

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Neural Network Machine Learning Data Science Algorithm 105

Viso.ai

DECEMBER 18, 2023

ONNX is an open standard for representing computer vision and machine learning models. The ONNX standard provides a common format enabling the transfer of models between different machine learning frameworks such as TensorFlow, PyTorch , MXNet, and others. Key Aspects of ONNX: Format Flexibility.

Explainability 52

Explainability Neural Network Deep Learning Machine Learning 52

ODSC - Open Data Science

FEBRUARY 13, 2023

Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure. A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning.

Neural Network 98

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 98

Towards AI

JULY 19, 2023

This week, plenty of Colab notebooks were released by various sources and someone actually built a minimized version of the Switch transformer in PyTorch. The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. Really cool ??.

NLP 94

NLP Neural Network Natural Language Processing Computer Vision 94

AWS Machine Learning Blog

APRIL 27, 2023

Deep learning (DL) is a fast-evolving field, and practitioners are constantly innovating DL models and inventing ways to speed them up. Custom operators are one of the mechanisms developers use to push the boundaries of DL innovation by extending the functionality of existing machine learning (ML) frameworks such as PyTorch.

Auto-complete 71

Auto-complete Deep Learning Machine Learning ML 71

Flipboard

SEPTEMBER 4, 2023

Home Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? This lesson is the 1st of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning (this tutorial) Lesson 2 Lesson 3 Overview: Why the Need? What Are Containers?

Machine Learning 109

Machine Learning Computer Vision Deep Learning Python 109

Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. A dataset is a group of samples (in this case, photos or videos).

Computer Vision 98

Computer Vision Deep Learning Python Neural Network 98

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

NLP 111

NLP Deep Learning BERT Natural Language Processing 111

PyImageSearch

MAY 15, 2023

Home Table of Contents Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? We will take it a step further by deploying the model on the OAK-D device. Looking for the source code to this post?

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Computer Vision Neural Network Metadata Deep Learning 102

AWS Machine Learning Blog

NOVEMBER 22, 2023

For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. Similar to the rest of the industry, the advancements of accelerated hardware have allowed Amazon teams to pursue model architectures using neural networks and deep learning (DL).

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LLM Software Engineer Auto-complete Neural Network 89

ODSC - Open Data Science

MARCH 28, 2023

Designed to help you identify the sessions that best fit your interests and learning goals, the ODSC Europe 2023 tracks highlight the data science and AI fields that are helping to build the future. You’ll learn about the latest research, topics, and tools from the leading experts in their respective fields.

Data Science 92

Data Science Deep Learning Machine Learning Neural Network 92

ODSC - Open Data Science

JANUARY 5, 2024

Python is still one of the most popular programming languages that developers flock to. What makes it popular is that it is used in a wide variety of fields, including data science, machine learning, and computational physics. It is easy to use, with a well-documented API and a wide range of tutorials and examples available.

Python 52

Python Data Science Machine Learning Data Analysis 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Large Language Models are everywhere these days. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io

Large Language Models 52

Large Language Models LLM Big Data NLP 52

PyImageSearch

OCTOBER 23, 2023

Home Table of Contents Generating Faces Using Variational Autoencoders with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? By the time we conclude, you’ll have a comprehensive understanding of how to implement, train, and experiment with VAEs using PyTorch.

Computer Vision 67

Computer Vision Deep Learning Neural Network Explainability 67

ODSC - Open Data Science

JULY 4, 2023

Henk’s specialties include AI, Azure, and application development. Henk’s keynote talk , Build and Deploy Pytorch Models with Azure Machine Learning, is available for free now on our Ai+ Training Platform , which you can access with a free account.

Machine Learning 52

Machine Learning Data Science Data Scientist ML 52

ODSC - Open Data Science

APRIL 19, 2023

Deep learning continues to be a hot topic as increased demands for AI-driven applications, availability of data, and the need for increased explainability are pushing forward. So let’s take a quick dive and see some big sessions about deep learning coming up at ODSC East May 9th-11th.

Deep Learning 52

Deep Learning Neural Network Machine Learning Computer Vision 52

AWS Machine Learning Blog

OCTOBER 5, 2023

Large language models (LLMs) have captured the imagination and attention of developers, scientists, technologists, entrepreneurs, and executives across several industries. About the Llama 2 model Similar to the previous Llama 1 model and other models like GPT, Llama 2 uses the Transformer’s decoder-only architecture.

Machine Learning 91

Machine Learning Big Data Deep Learning Natural Language Processing 91

PyImageSearch

JANUARY 22, 2024

Home Table of Contents Getting Started with Diffusers for Text-to-Image Introduction A Brief Primer on Diffusion Configuring Your Development Environment Need Help Configuring Your Development Environment? What Are Some Other Pipelines and Models? To learn how to get started with using diffusers, just keep reading.

Computer Vision 64

Computer Vision Deep Learning Neural Network Algorithm 64

PyImageSearch

DECEMBER 18, 2023

It was a chance for participants to learn from each other and explore potential collaborations. Fine-tuning models like Stable Diffusion opens up possibilities for more tailored and specific applications, pushing the boundaries of what can be achieved with text-to-image models. While Keras 3.0

ML 67

ML Neural Network Deep Learning Machine Learning 67

Heartbeat

JULY 17, 2023

[link] Transfer learning using pre-trained computer vision models has become essential in modern computer vision applications. It involves customizing a pre-trained model to work with a new set of data and tasks. This process requires careful monitoring and bench-marking to ensure the model performs optimally.

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

ODSC - Open Data Science

MAY 23, 2023

Fortunately, ODSC Europe 2023 this June 14th-15th — both in-person and virtually — will be offering several opportunities for you to learn more about the AI products and services available today, as well as best practices for how to implement machine learning solutions in your organization. Delta & Databricks Make This A Reality!

Machine Learning 52

Machine Learning Deep Learning Data Science Large Language Models 52

Heartbeat

AUGUST 3, 2023

Popular deep learning framework PyTorch offers strong tools and packages to successfully complete image segmentation tasks. In this article, we’ll look at how to segment images using PyTorch, covering all the key procedures and methods. Make sure PyTorch and Torchvision are installed in your Python environment as well.

Deep Learning 52

Deep Learning Python Computer Vision Data Scientist 52

PyImageSearch

MAY 1, 2023

Home Table of Contents Training the YOLOv8 Object Detector for OAK-D Introduction A Primer on YOLOv8 Configuring Your Development Environment Need Help Configuring Your Development Environment? The goal would be to train a YOLOv8 variant that can learn to recognize 1 of 5 hand gestures (e.g., And then came the YOLO model wave.

Computer Vision 107

Computer Vision Deep Learning Neural Network Python 107