Deep Learning

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Great Reads

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

A Brief Introduction to AI and Machine Language Translation

by Martin_Rupp

In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.

A Deep Dive Into Machine Translation

by Martin_Rupp

In this article we introduce the main theoretical concepts required for building an ML-based translator.

Activating Screen Magic with Your Face in the Browser with TensorFlow.js

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

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

A Brief Introduction to AI and Machine Language Translation

by Martin_Rupp

In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.

A Deep Dive Into Machine Translation

by Martin_Rupp

In this article we introduce the main theoretical concepts required for building an ML-based translator.

Activating Screen Magic with Your Face in the Browser with TensorFlow.js

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.

All Articles

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deep-learning

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

A Brief Introduction to AI and Machine Language Translation

by Martin_Rupp

In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.

A Deep Dive Into Machine Translation

by Martin_Rupp

In this article we introduce the main theoretical concepts required for building an ML-based translator.

Activating Screen Magic with Your Face in the Browser with TensorFlow.js

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.

Age Estimation With Deep Learning: Acquiring Dataset

by Sergey L. Gladkiy

In this article we’ll talk about the selection and acquisition of the image dataset.

Age Estimation With Deep Learning: Building CNN

by Sergey L. Gladkiy

In this article we’ll build the network we’ve designed using the Keras framework.

Age Estimation With Deep Learning: Designing CNN

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.

Age Estimation With Deep Learning: Getting Started

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.

Age Estimation With Deep Learning: Training CNN

by Sergey L. Gladkiy

In this article we train the CNN for age estimation.

Age Estimation With Deep Learning: Using CNN to Predict Age

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.

AI Chatbots With TensorFlow.js: Creating a Movie Dialogue Chatbot

by Raphael Mun

In this article, we'll create a chatbot we can have a dialogue with.

AI Chatbots With TensorFlow.js: Generating Shakespeare Monologue

by Raphael Mun

In this article we’ll build a Shakespearean Monologue Generator in the Browser with TensorFlow.js.

AI Chatbots With TensorFlow.js: Improved Emotion Detection in Text

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.

AI Chatbots With TensorFlow.js: Improved Trivia Expert

by Raphael Mun

In this article we will create a knowledge chatbot.

AI Chatbots With TensorFlow.js: Training a Trivia Expert AI

by Raphael Mun

In this article, we’ll build a trivia chatbot.

AI Face Detection on Raspberry Pi

by Sergey L. Gladkiy

In this article we’ll run our face detector on a Raspberry Pi device.

AI Social Distancing Detector: Calculating the Center Point of Detected People

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.

AI Social Distancing Detector: Detecting People in a Video Sequence

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.

AI Social Distancing Detector: Finding People That Are Too Close

by Dawid Borycki

In this article, we will use those centers to estimate distances between people and indicate people that are too close.

AI Social Distancing Detector: Improving People Detection With Yolo Object Detection

by Dawid Borycki

In this last article of the series, we improve our Python console application for AI-powered social distancing detection.

AI Social Distancing Detector: Object Detection in Video Frames

by Dawid Borycki

In this article, we continue learning how to use AI to build a social distancing detector.

AI Social Distancing Detector: Object Detection With TensorFlow and MobileNet

by Dawid Borycki

In this article, we will use drawing functions to depict detected objects.

AI Social Distancing Detector: Using OpenCV to Annotate Detected Objects

by Dawid Borycki

In this article, we will learn how to add annotations to images.

AI Social Distancing Detector: Working With Images in OpenCV

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.

Automating MLOps Deployment to Kubernetes

by Sergio Virahonda

In this article, we develop a semi-automated deployment-to-production script, which will complete our project.

Basic Deep Learning using Python+Keras

by Jesús Utrera

First article of a series of articles introducing deep learning coding in Python and Keras framework

Basic Deep Learning using Python+Keras. Chapter 2

by Jesús Utrera

Second article of a series of articles introducing deep learning coding in Python and Keras framework

Building a Deep Learning Environment in Python with Intel and Anaconda

by Intel

In this article, we’ll explore how to create a DL environment with optimized Intel packages.

Building a Magical Emotion Detection Hat in the Browser with TensorFlow.js

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.

Building a Mobile Style Transfer CycleGAN with Keras

by Abdulkader Helwan

In this article, we implement a CycleGAN from scratch.

Building a Style Transfer CycleGAN from Scratch

by Abdulkader Helwan

In this article, we implement a CycleGAN with a residual-based generator.

Chaining MLOps Pipelines with Jenkins Workflows

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.

Choosing Hardware for AI Traffic Speed Detection

by Allister Beharry

In this article, we select hardware components for our AI/Pi-based solution and assemble them into a functional system.

Completing the AI Traffic Speed Detector

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.

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

by Abdulkader Helwan

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

Creating a Face Database for Edge AI Facial Recognition

by Sergey L. Gladkiy

In this article we’ll explain how to create a simple database for face recognition.

Creating a Snapchat-Style Virtual Glasses Face Filter in the Browser with TensorFlow.js

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.

Deep Learning

by Mahsa Hassankashi

Deep learning convolutional neural network by tensorflow python, complete and easy understanding

Deep Learning in C#: Coin Detection Using OpenCV

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.

Deep Learning in C#: Coin Recognition in Keras.NET, Part I

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.

Deep Learning in C#: Coin Recognition in Keras.NET, Part II

by Arnaldo P. Castaño

In this article we will examine the CNN we implemented for coin recognition using Keras.NET.

Deep Learning in C#: Preprocessing the Coin Detection Dataset

by Arnaldo P. Castaño

In the next article, we will preprocess a dataset to be inputted to a machine learning model.

Deep Learning in C#: Understanding Neural Network Architecture

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.

Deep Learning Text-to-Speech

by Arnaldo P. Castaño

In this article we focus on the Text-to-Speech with the use of Deep Learning.

Deep Learning using Python + Keras (Chapter 3): ResNet

by Jesús Utrera

Third article of a series of articles introducing deep learning coding in Python and Keras framework

Detecting Facial Emotions in the Browser with Deep Learning Using TensorFlow.js

by Raphael Mun

In this article we'll use the key facial landmarks to infer more information about the face from the images.

Detecting Pests Using Pre-Trained SSD Models

by Sergey L. Gladkiy

In the next article, we’ll use a pre-trained DNN to detect pests on video.

Detecting Pests with a Motion Detector and Trained DNN

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.

Detecting Unusual Pests

by Sergey L. Gladkiy

In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.

Eliminating Pests with a Raspberry Pi

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.

Extending Dataset with Data Augmentation

by Sergey L. Gladkiy

In this article, we’ll see how the same result can be achieved by data augmentation.

Get faster performance for Deep Learning Models with the help of Intel® Distribution of OpenVINO™ toolkit Execution Provider and Intel® DevCloud

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.

Getting Started with Habana Gaudi for Deep Learning Training

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.

Getting Started With Hybrid Edge AI for Facial Recognition

by Sergey L. Gladkiy

In this article we discuss the principles of face detection and facial recognition.

Hybrid Edge AI Face Alignment

by Sergey L. Gladkiy

In this article I’ll explain how to perform the alignment based on the face landmarks the detector has found.

Hybrid Edge AI Face Detection

by Sergey L. Gladkiy

In this article, we’ll run a pretrained DNN model to detect faces in video.

Input Normalization as Separate Layer in CNTK with C#

by Bahrudin Hrnjica

How to implement data normalization as regular neural network layer, which can simply training process and data preparation

Jenkins Jobs and Deployments for MLOps on GKE

by Sergio Virahonda

In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.

Live Lightning Detection with Deep Learning and Tensorflow on Android: Exploring the Outcome

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.

Live Lightning Detection with Deep Learning and Tensorflow on Android: Real-time Testing

by Ruturaj Raval

In this article we’ll carry out real-time testing of our app.

Live Lightning Detection with Deep Learning and Tensorflow on Android: Training and Exporting Model

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.

Mobile Style Transfer With Image-to-Image Translation

by Abdulkader Helwan

In this article, we discuss the concepts of conditional generative adversarial networks (CGAN).

More AI Traffic Speed Detection With TrafficCV

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.

Neural networks for regression and their implementation in C#

by Nicolas DESCARTES

How to implement neural networks for regression in C# ?

Optimizing the AI Traffic Speed Detector

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.

Preparing Dataset

by Sergey L. Gladkiy

In this article we’ll create the training dataset for our pest of choice: The moose.

Preparing Hardware for AI Traffic Speed Detection

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.

Real-time AI Pest Elimination on Edge Devices: Getting Started

by Sergey L. Gladkiy

In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.

Real-Time Facial Emotion Detection with Webcam in the Browser UsingTensorFlow.js

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.

Setting Up a Development Environment for AI Traffic Speed Detection

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.

Setting Up Jenkins to Build CI/CD Pipelines for MLOps

by Sergio Virahonda

In this article we set up Jenkins CI for this project in order to start building and automating our MLOps pipelines.

Software AI Accelerators: AI Performance Boost for Free

by Wei_Li

This article lays out the performance data of software AI accelerators on Intel Xeon.

The Histogram Neuron - A Solution for "Kitten Stew" in Image Classification with CNNs

by R. Stacy Smyth

Approach I used to get the CNN to behave in a more intuitively sensible way

The No-Code Approach to Deploying Deep Learning Models on Intel® Hardware

by MaryT_Intel

In this article we show you the Intel® deep learning inference tools and the basics of how they work.

Tools for Building AI Language Translation Systems

by Martin_Rupp

Tools and software required to build a DL-based automatic translation system

Training a DNN

by Sergey L. Gladkiy

In this article, we’ll discuss training our DNN classifier with the augmented dataset.

Training a Running a Deep CycleGAN for Mobile Style Transfer

by Abdulkader Helwan

In this article, we train a CycleGAN with a U-Net-based generator.

Truly Understanding Neural Networks through their Implementation in C#

by Nicolas DESCARTES

How to implement neural networks in C#?

Using CycleGAN for Mobile Style Transfer

by Abdulkader Helwan

In this article, we discuss the CycleGAN architecture.

Vehicle Detection with TrafficCV

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.

Why Use AI for Traffic Speed Detection?

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.