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Deep Learning

deep-learning

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by LOST_FREEMAN
Hands-on data science competition with TensorFlow on .NET
by Martin_Rupp
In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.
by Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
by Raphael Mun
In the next and final article of this series, we'll detect eye blinks and the mouth opens to make an interactive scene.

Latest Articles

by LOST_FREEMAN
Hands-on data science competition with TensorFlow on .NET
by Martin_Rupp
In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.
by Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
by Raphael Mun
In the next and final article of this series, we'll detect eye blinks and the mouth opens to make an interactive scene.

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deep-learning 

by LOST_FREEMAN
Hands-on data science competition with TensorFlow on .NET
by Martin_Rupp
In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.
by Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
by Raphael Mun
In the next and final article of this series, we'll detect eye blinks and the mouth opens to make an interactive scene.
by Sergey L. Gladkiy
In this article we’ll talk about the selection and acquisition of the image dataset.
by Sergey L. Gladkiy
In this article we’ll build the network we’ve designed using the Keras framework.
by Sergey L. Gladkiy
In this article we’ll guide you through one of the most difficult steps in the DL pipeline: the CNN design.
by Sergey L. Gladkiy
In this article, we'll begin the process of how to use a deep neural network to estimate a person's age from an image.
by Sergey L. Gladkiy
In this article we train the CNN for age estimation.
by Sergey L. Gladkiy
In this article we will explain how to use the pre-trained CNN for estimating a person’s age from an image.
by Raphael Mun
In this article, we'll create a chatbot we can have a dialogue with.
by Raphael Mun
In this article we’ll build a Shakespearean Monologue Generator in the Browser with TensorFlow.js.
by Raphael Mun
In this article we are going to look at embedding entire sentences, rather than individual words, so that we can get much more accurate results in detecting emotion from the text.
by Raphael Mun
In this article we will create a knowledge chatbot.
by Raphael Mun
In this article, we’ll build a trivia chatbot.
by Sergey L. Gladkiy
In this article we’ll run our face detector on a Raspberry Pi device.
by Dawid Borycki
In this article, we'll calculate the center of each detected bounding box, which will serve as a base for calculating distance.
by Dawid Borycki
In this article we will perform object detection on the frames from the test data sets including video sequence stored in the video file.
by Dawid Borycki
In this article, we will use those centers to estimate distances between people and indicate people that are too close.
by Dawid Borycki
In this last article of the series, we improve our Python console application for AI-powered social distancing detection.
by Dawid Borycki
In this article, we continue learning how to use AI to build a social distancing detector.
by Dawid Borycki
In this article, we will use drawing functions to depict detected objects.
by Dawid Borycki
In this article, we will learn how to add annotations to images.
by Dawid Borycki
In this article series, we'll look at how to use AI and deep learning on video frames to ensure people are maintaining adequate social distancing in crowds.
by Sergio Virahonda
In this article, we develop a semi-automated deployment-to-production script, which will complete our project.
by Jesús Utrera
First article of a series of articles introducing deep learning coding in Python and Keras framework
by Jesús Utrera
Second article of a series of articles introducing deep learning coding in Python and Keras framework
by Intel
In this article, we’ll explore how to create a DL environment with optimized Intel packages.
by Raphael Mun
In this article we are going to bring together all of the pieces we’ve built so far in this series for some visual reflection fun.
by Abdulkader Helwan
In this article, we implement a CycleGAN from scratch.
by Abdulkader Helwan
In this article, we implement a CycleGAN with a residual-based generator.
by Sergio Virahonda
In the previous article in the series we set up build Jenkins workflows. In this article, we're going to build them.
by Allister Beharry
In this article, we select hardware components for our AI/Pi-based solution and assemble them into a functional system.
by Allister Beharry
In this we discuss improvements we can make to the software in terms of performance or accuracy. We also compare our homebrew open-source system to commercial vehicle speed detection systems.
by Abdulkader Helwan
In this article, we’ll show you how to build a network for Covid-19 detection from scratch.
by Sergey L. Gladkiy
In this article we’ll explain how to create a simple database for face recognition.
by Raphael Mun
In this article we are going to use the key facial points to render a 3D model virtually over our webcam feed for some Augmented Reality fun.
by Mahsa Hassankashi
Deep learning convolutional neural network by tensorflow python, complete and easy understanding
by Arnaldo P. Castaño
In this series of articles we will use a deep neural network (DNN) to perform coin recognition. Specifically, we will train a DNN to recognize the coins in an image.
by Arnaldo P. Castaño
In this article, we will examine a convolutional neural network for the problem of coin recognition, and we will implement one in Keras.NET.
by Arnaldo P. Castaño
In this article we will examine the CNN we implemented for coin recognition using Keras.NET.
by Arnaldo P. Castaño
In the next article, we will preprocess a dataset to be inputted to a machine learning model.
by Arnaldo P. Castaño
In this article we will go over the basics of supervised machine learning and what the training and verification phases consist of.
by Arnaldo P. Castaño
In this article we focus on the Text-to-Speech with the use of Deep Learning.
by Jesús Utrera
Third article of a series of articles introducing deep learning coding in Python and Keras framework
by Raphael Mun
In this article we'll use the key facial landmarks to infer more information about the face from the images.
by Sergey L. Gladkiy
In the next article, we’ll use a pre-trained DNN to detect pests on video.
by Sergey L. Gladkiy
In this article, we’ll show you how to develop a simple motion detector and combine it with the trained DNN model to detect moose on video.
by Sergey L. Gladkiy
In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.
by Sergey L. Gladkiy
In this article, we’ll test our detection algorithm on a Raspberry Pi 3 device and create the "scare pests away" part of our pest eliminator by playing a loud sound.
by Sergey L. Gladkiy
In this article, we’ll see how the same result can be achieved by data augmentation.
by Devang Aggarwal, Maajid Khan
The Intel® Distribution of OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, and many others.
by Greg Serochi
In this article we take you through the process of migrating your existing deep learning models over to Gaudi and show the basic steps to get your model ready to run.
by Sergey L. Gladkiy
In this article we discuss the principles of face detection and facial recognition.
by Sergey L. Gladkiy
In this article I’ll explain how to perform the alignment based on the face landmarks the detector has found.
by Sergey L. Gladkiy
In this article, we’ll run a pretrained DNN model to detect faces in video.
by Bahrudin Hrnjica
How to implement data normalization as regular neural network layer, which can simply training process and data preparation
by Sergio Virahonda
In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.
by Ruturaj Raval
In this article we’ll go over the project outcome and put together some "lessons learned" for your future live detection tasks.
by Ruturaj Raval
In this article we’ll carry out real-time testing of our app.
by Ruturaj Raval
In this article go through training a TF model with our curated dataset using Teachable Machine and export the trained model in the FTLite format.
by Abdulkader Helwan
In this article, we discuss the concepts of conditional generative adversarial networks (CGAN).
by Allister Beharry
In this article, we focus on developing a computer vision framework that can run the various Machine Learning and neural network models – like SSD MobileNet – on live and recorded vehicle traffic videos.
by Nicolas DESCARTES
How to implement neural networks for regression in C# ?
by Allister Beharry
In this article, we explore the different ways of measuring vehicle speed and the different Deep Learning models for object detection that can be used in our TrafficCV program.
by Sergey L. Gladkiy
In this article we’ll create the training dataset for our pest of choice: The moose.
by Allister Beharry
In this article, we’ll go through installation of the operating system on the Pi, securing it, and configuring it for remote access over WiFi.
by Sergey L. Gladkiy
In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.
by Raphael Mun
In this article which we;ll use the live webcam video of our face and see if the model can react to our facial expressions in real time.
by Allister Beharry
In this article, we set up a development environment on Windows 10 for cross-platform computer vision and machine learning projects to run on our Pi device.
by Sergio Virahonda
In this article we set up Jenkins CI for this project in order to start building and automating our MLOps pipelines.
by Wei_Li
This article lays out the performance data of software AI accelerators on Intel Xeon.
by R. Stacy Smyth
Approach I used to get the CNN to behave in a more intuitively sensible way
by MaryT_Intel
In this article we show you the Intel® deep learning inference tools and the basics of how they work.
by Martin_Rupp
Tools and software required to build a DL-based automatic translation system
by Sergey L. Gladkiy
In this article, we’ll discuss training our DNN classifier with the augmented dataset.
by Abdulkader Helwan
In this article, we train a CycleGAN with a U-Net-based generator.
by Nicolas DESCARTES
How to implement neural networks in C#?
by Abdulkader Helwan
In this article, we discuss the CycleGAN architecture.
by Allister Beharry
In this article, we have a look at the details of the TrafficCV implementation and the various object detection models to use for detecting vehicles and calculating their speed.
by Allister Beharry
This article series will show you how to build a reasonably accurate traffic speed detector using nothing but Deep Learning, and run it on an edge device like a Raspberry Pi.