Viso.ai

APRIL 29, 2024

A Spatial Transformer Network (STN) is an effective method to achieve spatial invariance of a computer vision system. STNs are used to “teach” neural networks how to perform spatial transformations on input data to improve spatial invariance. Architecture of a spatial transformer network from the original paper.

Neural Network 52

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Heartbeat

NOVEMBER 14, 2023

Integrating XGboost with Convolutional Neural Networks Photo by Alexander Grey on Unsplash XGBoost is a powerful library that performs gradient boosting. One robust use case for XGBoost is integrating it with neural networks to perform a given task. It was envisioned by Thongsuwan et al.,

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 52

Heartbeat

JUNE 6, 2023

Photo by GuerrillaBuzz on Unsplash Graph Convolutional Networks (GCNs) are a type of neural network that operates on graphs, which are mathematical structures consisting of nodes and edges. GCNs have been successfully applied to many domains, including computer vision and social network analysis.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

Viso.ai

APRIL 26, 2024

Object detection systems typically use frameworks like Convolutional Neural Networks (CNNs) and Region-based CNNs (R-CNNs). Concept of Convolutional Neural Networks (CNN) However, in prompt object detection systems, users dynamically direct the model with many tasks it may not have encountered before.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Mlearning.ai

JUNE 1, 2023

Using PyTorch Deep Learning Framework and CNN Architecture Photo by Andrew S on Unsplash Motivation Build a proof-of-concept for Audio Classification using a deep-learning neural network with PyTorch framework. This allows me to capture features of cat and dog sounds for the neural network.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Machine Learning 52

ODSC - Open Data Science

FEBRUARY 13, 2023

How Deep Neural Networks Work and How We Put Them to Work at Facebook Deep learning is the technology driving today’s artificial intelligence boom. We will take a gentle, detailed tour through a multilayer fully-connected neural network, backpropagation, and a convolutional neural network.

Neural Network 98

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 98

Bugra Akyildiz

FEBRUARY 3, 2024

Graph transformers are a powerful architecture for machine learning on graph-structured data like molecules, social networks, and knowledge graphs. Articles Google wrote an article on the new graph based transformer architecture called Exphormer and how they scaled this model for their datasets.

Neural Network 52

Neural Network Convolutional Neural Networks Deep Learning Large Language Models 52

Mlearning.ai

MAY 16, 2023

Deployment of PyTorch Model Using NCNN for Mobile Devices — Part 2 An introductory example of deploying a pretrained PyTorch model into an Android app using NCNN for mobile devices. Deployment of deep neural network on mobile phone. (a) to boost the usages of the deep neural networks in our lives.

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Viso.ai

FEBRUARY 25, 2024

Following that, the development of Convolutional Neural Networks (CNNs) was a watershed moment in the field. The introduction of the Super-Resolution Convolutional Neural Network (SRCNN) later demonstrated that deep learning models could outperform traditional image resolution methods.

Computer Vision 98

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Towards AI

SEPTEMBER 1, 2023

those calculations allow dimensioning prototypes and ensuring safe processes without having to build them. Numerical simulations have been used for years to understand the behavior of physical systems; how the fluids interact with a structure, how a geometry is deformed under stress, or even the thermal distribution under heating conditions.

Deep Learning 97

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Viso.ai

DECEMBER 1, 2023

Our end-to-end platform enables companies worldwide to build and distribute real-world applications. As Artificial Intelligence (AI) models become more important and widespread in almost every sector, it is increasingly important for businesses to understand how these models work and the potential implications of using them.

AI Modeling 98

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Heartbeat

AUGUST 15, 2023

Advanced techniques have been devised to address these challenges, such as deep learning, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Implementing CNNs in Python is relatively easy due to the availability of popular machine learning libraries such as PyTorch and TensorFlow.

Python 52

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Mlearning.ai

JANUARY 28, 2023

TensorFlow: TensorFlow is an open source library for building neural networks and other deep learning algorithms on top of GPUs. PyTorch: PyTorch is a library for Torch Machine Learning Platform (MLP) development on CPU devices as well as GPUs with Tensor Cores 2nd Generation (L1/L2). What is a Library?

Data Science 52

Data Science Machine Learning ML Python 52

Viso.ai

APRIL 25, 2024

Today’s boom in CV started with the implementation of deep learning models and convolutional neural networks (CNN). Also, they analyzed the weakness of previous mobile networks for face verification. Computer vision models enable the machine to extract, analyze, and recognize useful information from a set of images.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Python 52

Mlearning.ai

MARCH 26, 2023

Heart Attack Prediction Project link: [link] Prepare the data for neural network Split the dataset and create a simple neural network model using a library like TensorFlow or PyTorch. (I The advent of generative AI models like ChatGPT has made this an even more exciting time to delve into data science.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Software Engineer 52

Marktechpost

JULY 18, 2023

Fast R-CNN The Fast R-CNN technique, or Fast Region-Based Convolutional Network method, is a training algorithm for detecting objects. The science of computer vision has recently seen dramatic changes in object identification, which is often regarded as a difficult area of study.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm Computer Vision 52

Towards AI

JANUARY 31, 2023

What happened this week in AI by Louis Following recent advancements in image, code, and text generation, there have been new developments in AI-generated music and text-to-speech. In 2019, everyone was already impressed with OpenAI’s Musenet, built on GPT-2 techniques applied to MIDI files. human-written music-text pairs, is available.

Neural Network 52

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Viso.ai

DECEMBER 18, 2023

The ONNX standard provides a common format enabling the transfer of models between different machine learning frameworks such as TensorFlow, PyTorch , MXNet, and others. ONNX (Open Neural Network Exchange) is an open-source format. Key Aspects of ONNX: Format Flexibility. Framework Interoperability. Performance Optimizations.

Explainability 52

Explainability Neural Network Deep Learning Machine Learning 52

Towards AI

SEPTEMBER 28, 2023

Graph Neural Networks and Transformers for Time Series Forecasting on Heterogeneous Graphs to Predict Butte Trade Volumes. Their inherent structure allows for efficient storage of complex information, such as the ongoing protein interactions in your body or the ever-evolving social network surrounding you and your friends.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

We used a convolutional neural network (CNN) architecture with ResNet152 for image classification. They operate in multiple ecommerce channels such as quick commerce, slotted delivery, and daily subscriptions. You can also buy from their physical stores and vending machines. BigBasket serves over 10 million customers.

Computer Vision 97

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Mlearning.ai

JULY 11, 2023

Step 3: Explore Neural Networks and Deep Learning Basics Deep learning is based on neural networks. Start by understanding the basics of neural networks, which are networks of connected nodes that imitate the human brain. Also, learn about common algorithms used in machine learning.

Deep Learning 40

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NVIDIA

DECEMBER 13, 2023

The Wild West had gunslingers, bank robberies and bounties — today’s digital frontier has identity theft, credit card fraud and chargebacks. Cashing in on financial fraud has become a multibillion-dollar criminal enterprise. And generative AI in the hands of fraudsters only promises to make this more profitable. Fraud review has a powerful new tool.

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Viso.ai

MAY 10, 2024

Whether you’re building a consumer app to recognize plant species or an enterprise tool to monitor office security camera footage, you are going to need to build a Machine Learning (ML) model to provide the core functionality. Today, building an ML model is easier than ever before using frameworks like Tensorflow.

Machine Learning 52

Machine Learning Computer Vision Neural Network Convolutional Neural Networks 52

Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. These tools were developed with deep learning techniques.

Deep Learning 52

Deep Learning ML Convolutional Neural Networks Machine Learning 52

Bugra Akyildiz

DECEMBER 18, 2022

Contrastive learning describes a set of techniques for training deep networks by comparing and contrasting the models' representations of data. Of course, this does not really do any of those, it just imagines what it would be to run the code in Python and imagine what the code execution would be when it “runs” the code.

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 52

Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. Recurrent neural networks (RNNs), are a significant deep learning approach used in time series analysis . Long short-term memory networks are yet another crucial method.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Python 52

Heartbeat

FEBRUARY 27, 2023

Deep Reinforcement Learning (DRL) and Generative Adversarial Networks (GANs) are two promising deep learning trends. This article explores the latest research and developments, impact on various industries, and challenges faced in Generative Adversarial Networks and Deep Reinforcement Learning. A diagram of how a GAN works.

Machine Learning 52

Machine Learning Deep Learning Robotics Neural Network 52

Viso.ai

DECEMBER 3, 2023

Our solution enables organizations worldwide to build and deliver computer vision applications at scale. Viso Suite provides an end-to-end platform to build and deliver real-time computer vision systems. Viso Suite provides an end-to-end platform to build and deliver real-time computer vision systems. What Is Pose Estimation?

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98

Bugra Akyildiz

JANUARY 27, 2024

This is about the "construction crew" and how they build the modular system. Limited Adaptability: Changing or fine-tuning specific functionalities often requires significant restructuring, hindering efficient development and customization. a "word-embedding module" versus a "sentiment analysis module").

Deep Learning 59

Deep Learning Large Language Models LLM Convolutional Neural Networks 59

Viso.ai

JANUARY 9, 2024

The infrastructure solution enables teams to build, deliver and scale their computer vision applications. The infrastructure solution enables teams to build, deliver and scale their computer vision applications. About us: Viso.ai provides the leading end-to-end Computer Vision Platform Viso Suite. Get a demo for your company.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Topbots

MAY 17, 2023

Midjourney Evolution. In 2015, a research paper from Stanford University and UC Berkeley introduced diffusion models, coming originally from statistical physics, into the field of machine learning. We then learn a reverse diffusion process that restores structure in data, yielding a highly flexible and tractable generative model of the data.”

Neural Network 97

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Viso.ai

MAY 20, 2023

It requires several times cheaper hardware than other neural networks and can be trained much faster on small datasets without any pre-trained weights. It requires several times cheaper hardware than other neural networks and can be trained much faster on small datasets without any pre-trained weights. About us: Viso.ai

Algorithm 52

Algorithm Computer Vision Deep Learning Neural Network 52

Viso.ai

MARCH 29, 2024

A knowledge graph (semantic network) represents the information (storing not just data but also its meaning and context). A knowledge graph (semantic network) represents the information (storing not just data but also its meaning and context).

ML 52

ML Deep Learning NLP BERT 52

Dlabs.ai

AUGUST 20, 2020

Recently, the authors have added new implementations to the book in two currently most popular DL libraries: Pytorch and Tensorflow/Keras, which is a significant advantage of this resource. As it’s a relatively new space, specialists are more than happy to share their knowledge; some even do it for free! Lipton, Mu Li, Alex J.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Viso.ai

FEBRUARY 19, 2024

Traditional objеct dеtеction mеthods, such as Fastеr R-CNN and YOLO , rely on a combination of convolutional nеural nеtworks (CNNs) and hand-craftеd hеuristics for bounding box prеdiction and class labеling. Thе key idеa bеhind DETR is to cast objеct dеtеction as a dirеct sеt prеdiction problеm. Detection Transformer Schema – source.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Automation 52

Flipboard

MARCH 27, 2023

Table of Contents What’s New in PyTorch 2.0? torch.compile Configuring Your Development Environment Installation Verification Overview of PyTorch 2.0 What’s New in PyTorch 2.0? torch.compile torch.compile Definition Accelerating DNNs with PyTorch 2.0 The stable release of PyTorch 2.0 just keep reading.

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Kavita Ganesan

JANUARY 27, 2022

It provides an introduction to deep neural networks in Python. This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. Neural Network Basics We will start with some basics on neural networks.

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