Marktechpost

MAY 20, 2024

It drives advancements in fields like computer vision, natural language processing, and autonomous systems, enabling breakthroughs in image and speech recognition, medical diagnostics, and personalized recommendations. The syllabus includes neural networks, CNNs, RNNs, and deploying models.

Deep Learning 129

Deep Learning Neural Network Computer Vision Natural Language Processing 129

Unite.AI

JULY 11, 2023

Introduction To Image Generation Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: Knowledge of ML, Deep Learning (DL), Convolutional Neural Nets (CNNs), and Python programming. What will AI enthusiasts learn? Understand what unconditioned diffusion models are.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Marktechpost

JUNE 3, 2024

Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. The course spans eight weeks, with lectures and Python exercises. It also explores CNNs, TFRecord, and transfer learning.

Convolutional Neural Networks 124

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 124

IBM Journey to AI blog

DECEMBER 15, 2023

Morgan’s Athena uses Python-based open-source AI to innovate risk management. TensorFlow is a flexible, extensible learning framework that supports programming languages like Python and Javascript. Scikit-learn is a powerful open-source Python library for machine learning and predictive data analysis.

AI Tools 207

AI Tools Deep Learning Computer Vision Python 207

Marktechpost

JULY 31, 2024

Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics. Natural Language Processing in TensorFlow This course focuses on building natural language processing systems using TensorFlow.

Neural Network 110

Neural Network Auto-classification Natural Language Processing Deep Learning 110

Unite.AI

OCTOBER 27, 2024

The framework leverages WebGL acceleration for high-performance computing in browsers and provides sophisticated tools for model conversion and optimization. The framework also supports transfer learning, enabling developers to fine-tune existing models for specific use cases while minimizing computational requirements.

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Viso.ai

SEPTEMBER 2, 2024

As many areas of artificial intelligence (AI) have experienced exponential growth, computer vision is no exception. According to the data from the recruiting platforms – job listings that look for artificial intelligence or computer vision specialists doubled from 2021 to 2023.

Computer Vision 52

Computer Vision Software Engineer Convolutional Neural Networks Neural Network 52

Towards AI

DECEMBER 28, 2023

Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

Large Language Models 122

Large Language Models Natural Language Processing Deep Learning Prompt Engineer 122

Marktechpost

JULY 12, 2023

One of the best deep learning inventions is Large Language Models (LLMs), which recently got popular and are mostly in the headlines for their incredible use cases. These models imitate humans and, by utilizing the power of Natural Language Processing or Computer Vision, demonstrate some amazing solutions.

Deep Learning 98

Deep Learning Python Large Language Models Natural Language Processing 98

Marktechpost

MAY 14, 2024

Practical Deep Learning: A Python-Based Introduction This book is a comprehensive guide for beginners to build datasets and models needed to train neural networks for their own projects. Deep Learning with Python “Deep Learning with Python” introduces deep learning with the help of Python and its Keras library.

Neural Network 111

Neural Network Deep Learning Computer Vision Python 111

Towards AI

JANUARY 6, 2025

Natural language processing, computer vision, data mining, robotics, and other competencies are strengthened in the course. AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. Modern techniques can capture the nuance, context, and sophistication of language, just as humans do. Fundamental understanding of a deep learning framework such as TensorFlow, PyTorch, or Keras. Basic understanding of neural networks.

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

Unite.AI

NOVEMBER 1, 2023

Traditionally speaking, a typical software development process is a highly intricate, complex, and time-taking meticulous process with long development cycles, as there are multiple roles involved in the development process including coordination within the organization, allocation of tasks, writing of code, testing, and finally, documentation.

Software Development 264

Software Development Large Language Models LLM Natural Language Processing 264

Heartbeat

MARCH 5, 2024

Image by istockphoto Computer vision has become a ground-breaking area in artificial intelligence and machine learning with revolutionary applications. Computer vision has changed how we see and interact with the world, from autonomous vehicles navigating complex metropolitan landscapes to medical imaging identifying diseases.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Machine Learning 52

Flipboard

MARCH 27, 2023

The success of PyTorch is attributed to its simplicity, first-class Python integration, and imperative style of programming. is available as a Python pip package. your system should have installed the latest CUDA (Compute Unified Device Architecture) versions (11.6 However, to successfully install PyTorch 2.0, and 11.7). .

Neural Network 158

Neural Network Convolutional Neural Networks BERT Deep Learning 158

Viso.ai

NOVEMBER 19, 2023

This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. Software #9: Observe.AI Software #10: TensorFlow Software #11: H2O.ai

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

AWS Machine Learning Blog

JUNE 18, 2024

We extract the default generic entities through the AWS SDK for Python (Boto3) as follows: import pandas as pd comprehend_client = boto3.client("comprehend") Her expertise is in building machine learning solutions involving computer vision and natural language processing for various industry verticals.

Large Language Models 112

Large Language Models Natural Language Processing LLM Computer Vision 112

The MLOps Blog

MAY 10, 2023

How to save a trained model in Python? Saving trained model with pickle The pickle module can be used to serialize and deserialize the Python objects. For saving the ML models used as a pickle file, you need to use the Pickle module that already comes with the default Python installation. Now let’s see how we can save our model.

Python 105

Python Metadata ML Machine Learning 105

Analytics Vidhya

DECEMBER 1, 2019

Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including. The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.

Data Scientist 364

Data Scientist Data Science Natural Language Processing Computer Vision 364

AWS Machine Learning Blog

DECEMBER 12, 2024

Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. Shweta Singh is a Senior Product Manager in the Amazon SageMaker Machine Learning (ML) platform team at AWS, leading SageMaker Python SDK.

ML 74

ML Python Data Scientist Natural Language Processing 74

Viso.ai

DECEMBER 10, 2023

This article will cover image recognition, an application of Artificial Intelligence (AI), and computer vision. Image recognition with deep learning is a key application of AI vision and is used to power a wide range of real-world use cases today. Therefore, it is also called object recognition.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Marktechpost

JUNE 16, 2023

Large Language Models (LLMs), which have recently got very popular due to their incredible abilities, are the main reason for the rise in AI. The subdomains of AI, be it Natural Language Processing, Natural Language Understanding, or Computer Vision, all of these are progressing, and for all good reasons.

Large Language Models 105

Large Language Models Natural Language Processing Computer Vision Python 105

Flipboard

FEBRUARY 15, 2023

You can fine-tune and deploy JumpStart models using the UI in Amazon SageMaker Studio or using the SageMaker Python SDK extension for JumpStart APIs. Conclusion Jumpstart provides hundreds of pre-trained models for common ML tasks, including computer vision and natural language processing uses cases.

ML 162

ML Natural Language Processing Machine Learning Computer Vision 162

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Neural Network 52

ODSC - Open Data Science

MAY 22, 2023

Training AI-Powered Algorithmic Trading with Python Dr. Yves J. Hilpisch | The AI Quant | CEO The Python Quants & The AI Machine, Adjunct Professor of Computational Finance This session will cover the essential Python topics and skills that will enable you to apply AI and Machine Learning (ML) to Algorithmic Trading.

Data Science 97

Data Science Python Machine Learning Data Scientist 97

AWS Machine Learning Blog

MAY 31, 2024

You can discover and deploy the Falcon 2 11B model with a few clicks in Amazon SageMaker Studio or programmatically through the SageMaker Python SDK, enabling you to derive model performance and MLOps controls with SageMaker features such as Amazon SageMaker Pipelines , Amazon SageMaker Debugger , or container logs.

Python 107

Python Auto-classification Machine Learning ML 107

AWS Machine Learning Blog

JULY 2, 2024

the optimizations are available in torch Python wheels and AWS Graviton PyTorch deep learning container (DLC). the optimizations are available in the torch Python wheels and AWS Graviton DLC. the optimizations are available in the torch Python wheel and in AWS Graviton PyTorch DLC. Starting with PyTorch 2.3.1, Instance: c7g.4xl

Natural Language Processing 103

Natural Language Processing Python NLP Software Development 103

PyImageSearch

JANUARY 1, 2024

Gemini Pro is now available in Bard through the MakerSuite UI and their Python Software Development Kit (SDK). Google AI Studio Explore the Gemini Pro and Gemini Pro Vision models accessible via the MakerSuite UI within Google AI Studio. We can see from the output below that gemini-pro and gemini-pro-vision are available for use.

Computer Vision 98

Computer Vision Deep Learning Python Natural Language Processing 98

Towards AI

JUNE 27, 2023

For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages. PyTorch PyTorch, a Python-based machine learning library, stands out among its peers in the machine learning tools ecosystem.

Machine Learning 98

Machine Learning ML Neural Network Natural Language Processing 98

AWS Machine Learning Blog

OCTOBER 19, 2023

Content moderation in Amazon Rekognition Amazon Rekognition is a managed artificial intelligence (AI) service that offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. He enjoys working on computer vision, AI, and distributed systems.

Auto-complete 119

Auto-complete Computer Vision Artificial Intelligence Artificial Intelligence 119

Viso.ai

DECEMBER 4, 2023

For enterprise applications using TensorFlow, check out the computer vision platform Viso Suite which automates the end-to-end infrastructure around serving a TensorFlow model at scale. Compatibility: TensorFlow is compatible with many languages, such as C++, JavaScript, Python, C#, Ruby, and Swift.

Neural Network 98

Neural Network Deep Learning Python Machine Learning 98

Marktechpost

JULY 24, 2024

Addressing this challenge, researchers from Eindhoven University of Technology have introduced a novel method that leverages the power of pre-trained Transformer models, a proven success in various domains such as Computer Vision and Natural Language Processing.

Machine Learning 111

Machine Learning ML Natural Language Processing Computer Vision 111

PyImageSearch

SEPTEMBER 23, 2024

Home Table of Contents Deploying a Vision Transformer Deep Learning Model with FastAPI in Python What Is FastAPI? To learn how to effectively deploy a Vision Transformer model with FastAPI and perform inference via exposed APIs, just keep reading. Testing main.py Testing main.py Looking for the source code to this post?

Deep Learning 60

Deep Learning Python Computer Vision Software Development 60

IBM Journey to AI blog

JULY 6, 2023

Today, machine learning has evolved to the point that engineers need to know applied mathematics, computer programming, statistical methods, probability concepts, data structure and other computer science fundamentals, and big data tools such as Hadoop and Hive. Python is the most common programming language used in machine learning.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Marktechpost

JULY 23, 2023

Hydra An open-source Python framework called Hydra makes it easier to create complicated apps for research and other purposes. Pandas is the de facto standard (single-node) Python DataFrame implementation, whereas Spark is the de facto standard for large-scale data processing.

Machine Learning 97

Machine Learning Python Neural Network Deep Learning 97

Flipboard

NOVEMBER 20, 2023

Python 3.10 GPU Optimized image, Python 3 kernel, and ml.g5.2xlarge as the instance type. To set up the development environment, you need to install the necessary Python libraries, as demonstrated in the following code: %%writefile requirements.txt sagemaker>=2.175.0 transformers==4.33.0 accelerate==0.21.0 datasets==2.13.0

Auto-complete 167

Auto-complete LLM Machine Learning Natural Language Processing 167

Viso.ai

DECEMBER 1, 2023

Value of AI models for businesses The most popular AI models AI models in computer vision applications – Viso Suite About us: We provide the platform Viso Suite to collect data and train, deploy, and scale AI models on powerful infrastructure. In computer vision, this process is called image annotation.

AI Modeling 98

AI Modeling Neural Network Deep Learning Computer Vision 98