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by Jesús Utrera
First article of a series of articles introducing deep learning coding in Python and Keras framework
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 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 show you how to develop a simple motion detector and combine it with the trained DNN model to detect moose on video.

Latest Articles

by Intel
In this article, we’ll explore how to create a DL environment with optimized Intel packages.
by Wei_Li
This article lays out the performance data of software AI accelerators on Intel Xeon.
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 MaryT_Intel
In this article we show you the Intel® deep learning inference tools and the basics of how they work.

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Deep Learning 

31 May 2018 by Jesús Utrera
First article of a series of articles introducing deep learning coding in Python and Keras framework
17 Jul 2020 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.
9 Feb 2021 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.
23 Dec 2020 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.
13 Jan 2021 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.
4 Nov 2020 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.
18 Jun 2018 by Jesús Utrera
Third article of a series of articles introducing deep learning coding in Python and Keras framework
21 Oct 2020 by Raphael Mun
In this article, we'll create a chatbot we can have a dialogue with.
3 Nov 2020 by Arnaldo P. Castaño
In the next article, we will preprocess a dataset to be inputted to a machine learning model.
3 Feb 2021 by Raphael Mun
In this article we'll use the key facial landmarks to infer more information about the face from the images.
21 Jul 2021 by Sergey L. Gladkiy
In this article we’ll run our face detector on a Raspberry Pi device.
10 Dec 2020 by Dawid Borycki
In this article, we will use those centers to estimate distances between people and indicate people that are too close.
23 Jul 2020 by Sergey L. Gladkiy
In this article we train the CNN for age estimation.
7 Aug 2020 by Arnaldo P. Castaño
In this article we focus on the Text-to-Speech with the use of Deep Learning.
19 Oct 2020 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.
6 Nov 2020 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.
6 Nov 2020 by Arnaldo P. Castaño
In this article we will examine the CNN we implemented for coin recognition using Keras.NET.
11 Dec 2020 by Dawid Borycki
In this last article of the series, we improve our Python console application for AI-powered social distancing detection.
5 Feb 2021 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.
22 Jul 2020 by Sergey L. Gladkiy
In this article we’ll build the network we’ve designed using the Keras framework.
3 Mar 2021 by Sergey L. Gladkiy
In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.
16 Dec 2020 by Sergey L. Gladkiy
In the next article, we’ll use a pre-trained DNN to detect pests on video.
17 Dec 2020 by Sergey L. Gladkiy
In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.
21 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll see how the same result can be achieved by data augmentation.
22 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll discuss training our DNN classifier with the augmented dataset.
15 Jan 2021 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.
20 Jan 2021 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.
27 Jan 2021 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.
12 May 2021 by Sergio Virahonda
In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.
24 Dec 2020 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.
21 Jul 2020 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.
16 Oct 2020 by Raphael Mun
In this article, we’ll build a trivia chatbot.
8 Feb 2021 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.
22 Feb 2021 by Abdulkader Helwan
In this article, we’ll show you how to build a network for Covid-19 detection from scratch.
13 Jul 2018 by Bahrudin Hrnjica
How to implement data normalization as regular neural network layer, which can simply training process and data preparation
19 Jan 2021 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.
22 Jan 2021 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.
13 May 2021 by Sergio Virahonda
In this article we set up Jenkins CI for this project in order to start building and automating our MLOps pipelines.
17 May 2021 by Sergio Virahonda
In this article, we develop a semi-automated deployment-to-production script, which will complete our project.
27 Dec 2017 by R. Stacy Smyth
Approach I used to get the CNN to behave in a more intuitively sensible way
15 Mar 2022 by MaryT_Intel
In this article we show you the Intel® deep learning inference tools and the basics of how they work.
20 Oct 2020 by Raphael Mun
In this article we will create a knowledge chatbot.
22 Oct 2020 by Raphael Mun
In this article we’ll build a Shakespearean Monologue Generator in the Browser with TensorFlow.js.
12 Nov 2020 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.
17 Nov 2020 by Ruturaj Raval
In this article we’ll carry out real-time testing of our app.
18 Nov 2020 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.
18 Jan 2021 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.
13 Apr 2021 by Martin_Rupp
In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.
14 Apr 2021 by Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
15 Apr 2021 by Martin_Rupp
Tools and software required to build a DL-based automatic translation system
15 Jun 2021 by Abdulkader Helwan
In this article, we discuss the CycleGAN architecture.
17 Jun 2021 by Abdulkader Helwan
In this article, we train a CycleGAN with a U-Net-based generator.
18 Jun 2021 by Abdulkader Helwan
In this article, we implement a CycleGAN with a residual-based generator.
22 Jul 2021 by Sergey L. Gladkiy
In this article we’ll explain how to create a simple database for face recognition.
7 Dec 2020 by Dawid Borycki
In this article, we continue learning how to use AI to build a social distancing detector.
9 Dec 2020 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.
10 Dec 2018 by Apriorit Inc, Vadym Zhernovyi
The experience of improving Mask R-CNN performance six to ten times by applying TensorRT
14 May 2021 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.
16 Jun 2021 by Abdulkader Helwan
In this article, we implement a CycleGAN from scratch.
21 Mar 2022 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.
29 Apr 2022 by Wei_Li
This article lays out the performance data of software AI accelerators on Intel Xeon.
19 Oct 2022 by Intel
In this article, we’ll explore how to create a DL environment with optimized Intel packages.
12 May 2021 by LOST_FREEMAN
Hands-on data science competition with TensorFlow on .NET
20 Jul 2020 by Sergey L. Gladkiy
In this article we’ll talk about the selection and acquisition of the image dataset.
24 Jul 2020 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.
2 Nov 2020 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.
20 Jul 2021 by Sergey L. Gladkiy
In this article I’ll explain how to perform the alignment based on the face landmarks the detector has found.
4 Feb 2021 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.
16 Jul 2021 by Sergey L. Gladkiy
In this article we discuss the principles of face detection and facial recognition.
19 Jul 2021 by Sergey L. Gladkiy
In this article, we’ll run a pretrained DNN model to detect faces in video.
18 Dec 2020 by Sergey L. Gladkiy
In this article we’ll create the training dataset for our pest of choice: The moose.
14 Jun 2021 by Abdulkader Helwan
In this article, we discuss the concepts of conditional generative adversarial networks (CGAN).
2 Dec 2020 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.
8 Dec 2020 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.
14 Jan 2021 by Allister Beharry
In this article, we select hardware components for our AI/Pi-based solution and assemble them into a functional system.
18 Jun 2018 by Jesús Utrera
Second article of a series of articles introducing deep learning coding in Python and Keras framework
4 Dec 2020 by Dawid Borycki
In this article, we will use drawing functions to depict detected objects.
3 Dec 2020 by Dawid Borycki
In this article, we will learn how to add annotations to images.