Viso.ai

MARCH 12, 2024

Today’s boom in computer vision (CV) started at the beginning of the 21 st century with the breakthrough of deep learning models and convolutional neural networks (CNN). We split them into two categories – classical CV approaches, and papers based on deep-learning. Find the SURF paper here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

Pickl AI

JULY 24, 2024

The advent of big data, coupled with advancements in Machine Learning and deep learning, has transformed the landscape of AI. Techniques such as neural networks, particularly deep learning, have enabled significant breakthroughs in image and speech recognition, natural language processing, and autonomous systems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Viso.ai

JANUARY 16, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. The embedding functions can be convolutional neural networks (CNNs). Training happens by learning a projection function. Get a demo here.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

AWS Machine Learning Blog

APRIL 6, 2023

The point cloud-based neural network model is further trained using this data to learn the parameters of the product lifecycle curve (see the following figure). For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale).

Machine Learning 108

Machine Learning ML Categorization Data Scientist 108

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets. The sample code supports horizontal and synchronous FL for training neural network models.

ML 119

ML Algorithm Machine Learning Neural Network 119

John Snow Labs

DECEMBER 26, 2023

Using LSTM networks’ inherent ability to store historical knowledge over long periods, the model architecture will be developed to efficiently capture the rich contextual cues and intricacies found in the IMDB dataset. Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks. abs/2005.03993 Andrew L.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 52

Viso.ai

MAY 31, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. VOC2011 PASCAL VOC challenge took a big step forward in 2011 with VOC2011. provides a robust end-to-end computer vision infrastructure – Viso Suite.

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

Explosion

FEBRUARY 12, 2017

In this post, I’ll explain how to solve text-pair tasks with deep learning, using both new and established tips and technologies. The SNLI dataset is over 100x larger than previous similar resources, allowing current deep-learning models to be applied to the problem. Most NLP neural networks start with an embedding layer.

Neural Network 40

Neural Network Deep Learning Natural Language Processing NLP 40

Explosion

APRIL 27, 2023

The machine learning model So let’s start with the first step of building the machine learning model. We’ll be using our own deep learning library, Thinc , which is lightweight and offers a functional programming API for composing neural networks.

NLP 69

NLP Machine Learning Neural Network Deep Learning 69

Kavita Ganesan

MAY 24, 2022

And they also had started neural networks research long ago, but that research stopped because insufficient computation power. And then he picked up again, I think, around 2011, when big data became a thing, then we had lots of faster computation power, and then it just accelerated from that.

AI 52

AI AI Neural Network Natural Language Processing 52

Explosion

MARCH 17, 2019

It’s widely used in production and research systems for extracting information from text, developing smarter user-facing features, and preprocessing text for deep learning. In 2011, deep learning methods were proving successful for NLP, and techniques for pretraining word representations were already in use.

NLP 52

NLP Python Neural Network Natural Language Processing 52

Unite.AI

OCTOBER 10, 2024

A new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training scheme of a neural network, and manages to obtain better results – and better resistance to adversarial attacks. In contrast, JPEG-DL (right) succeeds in distinguishing and delineating the subject of the photo.

Neural Network 157

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 157

ML Review

MAY 3, 2018

Much the same way we iterate, link and update concepts through whatever modality of input our brain takes — multi-modal approaches in deep learning are coming to the fore. While an oversimplification, the generalisability of current deep learning approaches is impressive.

Neural Network 52

Neural Network Computer Vision Deep Learning NLP 52

Mlearning.ai

JUNE 5, 2023

Many Libraries: Python has many libraries and frameworks (We will be looking some of them below) that provide ready-made solutions for common computer vision tasks, such as image processing, face detection, object recognition, and deep learning. It is a fork of the Python Imaging Library (PIL), which was discontinued in 2011.

Computer Vision 52

Computer Vision Deep Learning Python Neural Network 52