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 Emotion Detection in the Browser with Transfer Learning and TensorFlow.js

by MehreenTahir

In this article we create a web app that trains the classifier on the go and recognizes grumpy facial expressions.

AI Forecasting and Anomaly Detection on Streaming Bitcoin Prices

by Sergio Virahonda

In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.

AI Forecasting on Bitcoin Time Series Data

by Sergio Virahonda

In the next article, we are going to discuss forecasting on Bitcoin time series.

AI Hazard Detection on Android with Tensorflow Lite

by Joel Ivory Johnson

This article series will show readers how to create a real-time AI hazard detector using an Android device.

AI on the Edge: Face Mask Detection

by Sergio Virahonda

Different approaches to create a face mask detector

Alerting the Driver with AI Hazard Detection on Android

by Joel Ivory Johnson

In this next entry in the AI Hazard Detection on Android series, we will look at how we can avoid unnecessarily warning the user, and how we can quickly alert them.

Analyze Your Python Applications with Intel Advisor

by Jeffrey T. Fritz

In this video, Jeff shows you a quick example using the TensorFlow quickstart and how the Intel Advisor can recommend some improvements to it.

Android Tensorflow Lite Best Practices and Optimizations

by Joel Ivory Johnson

In this article we will consider the ways in which the network could be further optimized.

Approaches to Generating Deep Fakes

by Sergio Virahonda

In this article I’ll explain the different options we can choose from to create deep fakes.

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

Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit

by Ragesh_Hajela

In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.

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 Docker Container to Train Deep Fake Autoencoders

by Sergio Virahonda

In the next article, we talked about Google AI Platform and how to train your models there with some help from Docker containers.

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 Voice-enabled Smart Home TinyML Solution with Cloud Connectivity

by Jo Stichbury

In this article we show, a high-level, it is possible to create sophisticated AI-enabled applications that run upon memory-constrained, ultra-low power endpoint devices.

Building AI Language Translation with TensorFlow and Keras

by Martin_Rupp

In this article we’ll build our AI language translation system.

Building and Training Deep Fake Autoencoders

by Sergio Virahonda

In this article we'll build and train our models with them.

Cat or Not - An Image Classifier using Python and Keras

by Ryan Peden

A code-first introduction to neural networks

Comparing Self-Hosted AI Servers: A Guide for Developers

by Chris Maunder

This article explores the various self-hosted AI frameworks available and understand their strengths, weaknesses, and compatibility with your project requirements. Make an informed decision that aligns with your organization's goals

Converting a Style Transfer Model from TensorFlow to TensorFlow Lite

by Abdulkader Helwan

In this project, our aim is to run a mobile Image-to-Image translation model on the Android platform.

Converting YOLOv5 PyTorch Model Weights to TensorFlow Lite Format

by Sergio Virahonda

In this article we test a face mask detector on a regular computer.

COVID-19 Diagnosis Results with Deep Learning and ResNet50

by Abdulkader Helwan

In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.

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.

COVID-19 Diagnosis with Deep Learning

by Abdulkader Helwan

In this article, we introduce transfer learning and ResNet50.

Crash Detection Using the Accelerometer

by Joel Ivory Johnson

In the next entry of the AI Hazard Detection on Android series, we will look at crash detection and notifications.

Create Your First Neural Network with Python and TensorFlow

by Intel

In this article, we’ll show you how to create a very simple CNN for image classification from scratch.

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.

Creating an Android AI App With Tensorflow Lite

by Joel Ivory Johnson

In this article we will create an Android application and import our TensorFlow Lite model into it.

Deep Learning for Fashion Classification

by Abdulkader Helwan

In this series of articles, we’ll showcase an AI-powered deep learning system that can revolutionize the fashion design industry by helping us better understand customers’ needs.

DeepFaceLab: A Pre-Packaged Alternative DIY Deep Fakes

by Sergio Virahonda

In this article we’ll explore DeepFaceLab as an alternative to our last approach.

Deep-Learning AI on Low-Power Microcontrollers: MNIST Handwriting Recognition Using TensorFlow Lite Micro on Arm Cortex-M Devices

by Raphael Mun

In this article we’re going to build a fully functional MNIST handwriting recognition app using TensorFlow Lite to run our AI inference on a low-power STMicroelectronics microcontroller using an Arm Cortex M7-based processor

Deploying YOLOv5 Model on Raspberry Pi with Coral USB Accelerator

by Sergio Virahonda

In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.

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.

Developer Guide: Model Optimization with the OpenVINO™ Toolkit

by Ragesh_Hajela

OpenVINO offers several tools for making a model run faster and use less memory. In this article we look at: what each tools does, when you should use model optimizer, POT, and NNCF, and frequently asked questions.

Dockerized AI on Large Models With NLP and Transformers

by Jarek Szczegielniak

In this article we run an inference model for NLP using models persisted on a Docker volume.

Dogs and Pizza: Computer Vision in the Browser With TensorFlow.js

by Raphael Mun

In this article, we’ll dive into computer vision running right within a web browser.

Face Touch Detection with TensorFlow.js Part 1: Using Real-Time Webcam Data With Deep Learning

by Raphael Mun

In this article, we are going to use all that we’ve learned so far with computer vision in TensorFlow.js to try building a version of this app ourselves.

Face Touch Detection with TensorFlow.js Part 2: Using BodyPix

by Raphael Mun

In this article, we are going to use BodyPix, a body part detection and segmentation library, to try and remove the training step of the face touch detection.

Fine-tuning ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll fine-tune our ResNet50 model.

Fine-tuning VGG16 to Classify Clothing

by Abdulkader Helwan

In this article we show you how to train VGG19 to recognize what people are wearing.

Fluffy Animal Detector: Recognizing Custom Objects in the Browser by Transfer Learning in TensorFlow.js

by Raphael Mun

In this article we will build a Fluffy Animal Detector, where I will show you a way to leverage a pre-trained Convolutional Neural Network (CNN) model like MobileNet.

Generate New Fashion Designs with a Generative Adversarial Network (GAN)

by Abdulkader Helwan

In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.

Getting Started - AI Image Classification With TensorFlow.js

by MehreenTahir

In this article we load a pre-trained model using TensorFlow.js to predict the breed of the dog inside our web browser.

Getting Started With Deep Learning in Your Browser Using TensorFlow.js

by Raphael Mun

In this article, I will show you how quickly and easily set up and use TensorFlow.js to train a neural network to make predictions from data points.

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.

How to convert TensorFlow model and run it with OpenVINO™ Toolkit

by Adrian Boguszewski

A very simple guide for every TensorFlow Developer wanting to start the OpenVINO journey

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.

Interpreting Hand Gestures and Sign Language in the Webcam with AI using TensorFlow.js

by Raphael Mun

In this article, we will take photos of different hand gestures via webcam and use transfer learning on a pre-trained MobileNet model to build a computer vision AI that can recognize the various gestures in real time.

Introducing OpenVINO™ integration with TensorFlow

by Stephanie_Maluso

This article provides a better understanding of the benefits of OpenVINO integration with Tensorflow: how it works, deployments environments, and how OpenVINO integration with TensorFlow differs from using native OpenVINO API

Introduction to Keras

by Thomas Daniels

In this article, let’s dive into Keras, a high-level library for neural networks.

Introduction to NumPy, TensorFlow, and scikit-learn

by Thomas Daniels

In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.

Invoking TensorFlow AI (Python) from a C# Desktop Application

by Thomas Weller

Demonstrates how to invoke TensorFlow neural networks from a C# application and also how to use a Python-generated chart to display the results.

Labelling Images for AI Model Training

by Sergio Virahonda

In this article in the series, we label a face mask dataset.

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.

Loading a TensorFlow Model with AI Hazard Detection on Android

by Joel Ivory Johnson

In this article of the AI Hazard Detection on Android series, we will add the TensorFlow Lite model to the project and prepare it for processing.

Logo Recognition System

by Ammar Albush 1997

Logo Recognition System Program written in C# .NET 6.0 Windows Form (Tensorflow.net,Tensorflow.keras,Emgu Cv,ScottPlot.WinForms,Newtonsoft.Json)

Making TensorFlow Models Portable Using ONNX

by Keith Pijanowski

In this article, I provided a brief overview of TensorFlow 1.0 and TensorFlow 2.0 for those looking for a deep learning framework for building and training neural networks.

Mobile Style Transfer With Image-to-Image Translation

by Abdulkader Helwan

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

Model Auto-Adjustment in an MLOps Pipeline

by Sergio Virahonda

In this article, we’ll implement automatic training.

Multi-Stage Docker Builds for AI Object Detection

by Jarek Szczegielniak

In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.

OpenVINO™ Integration With TensorFlow Now Comes With Docker Support

by Intel

In this post, we will start by using Prebuilt Images available on DockerHub. Then we will go through the exact commands you’ll need to access an Object Detection notebook via Docker.

Preparing a Deep Learning Environment for COVID-19 Diagnosis

by Abdulkader Helwan

In this article, we’ll discuss materials and methods for this project.

Preparing Data for AI Fashion Classification

by Abdulkader Helwan

In this article we’ll show you how to use transfer learning to fine-tune the VGG19 model to classify fashion clothing categories.

Preparing Images for AI Model Training

by Sergio Virahonda

In this article we prepare a face mask images for our AI model training.

Preparing to Train Deep Fake Models in the Cloud

by Sergio Virahonda

In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.

Preprocessing a Dataset for Deep Fakes

by Sergio Virahonda

In this article, I’ll go through what’s required to preprocess videos and prepare them to be fed into our models.

Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

by Sergio Virahonda

In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.

Pre-Trained AI Emotion Detection With face-api and Tensorflow.js

by MehreenTahir

In this article we use another pre-trained model, face-api.js, to detect expressions without doing any training ourselves.

Putting it all Together: Swapping Faces with Deep Fakes

by Sergio Virahonda

In this article, we complete the pipeline for our Deep Fakes DIY solution.

Python Machine Learning on Azure Part 1: Creating an XGBoost Model with Python, VS Code, and Azure ML

by Jarek Szczegielniak

How to use Visual Studio Code with Machine Learning extensions to train an XGBoost model on Azure

Python Machine Learning on Azure Part 2: Creating a PyTorch Model with Python, GitHub Codespaces, and Azure ML

by Jarek Szczegielniak

How to use GitHub Codespaces and GitHub Actions to automatically train a PyTorch model after each push of changes to a repository

Python Machine Learning on Azure Part 3: Creating a TensorFlow Model with Python and Azure ML Studio

by Jarek Szczegielniak

How to train within an Azure Machine Learning workspace using a TensorFlow model

Real-Time AI Emotion Detection from a Webcam With TensorFlow.js

by MehreenTahir

In this will article extend our model to do custom classification in real time using a webcam.

Real-Time Face Tracking in the Browser with TensorFlow.js

by Raphael Mun

In this series, we’re going to show you how to create Snapchat-style filters in the browser using Tensorflow.js and face tracking.

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.

Restructuring ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll work on restructuring ResNet50 to perform the new classification task.

Running AI Fashion Classification on Real Data

by Abdulkader Helwan

In this article we evaluate VGG19 using real images taken by a phone camera.

Running AI Models in Docker Containers

by Jarek Szczegielniak

In this article, we’ll create a container to run a CPU inference on the trained model.

Running AI Models in Docker Containers on ARM Devices

by Jarek Szczegielniak

In this article, we’ll adapt our image for Raspberry Pi with an ARM processor.

Running AI Models in GPU-Enabled Docker Containers

by Jarek Szczegielniak

In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.

Setting up a Deep Learning Machine on Azure from the App Marketplace

by DataBytzAI

Using a pre-configured environment on Azure to create a "ready to go" Deep Learning machine

Setting Up an Android AI Development Environment

by Joel Ivory Johnson

This is the first in a series of articles on using TensorFlow Lite on Android to bring the power of machine learning and deep neural networks to mobile application

Speeding Up the Databricks Runtime for Machine Learning

by Intel

Intel has invested in optimizing performance of Python itself, with the Intel® Distribution for Python, and has optimized key data science libraries used with scikit-learn, such as XGBoost, NumPy, and SciPy. This article gives more information on installing and using these extensions.

TensorFlow Tutorial 1: Getting Started

by CodeProject

Tools for Building AI Language Translation Systems

by Martin_Rupp

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

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.

Training a YOLOv5 Model for Face Mask Detection

by Sergio Virahonda

In this article, we’re going to use the dataset to train a YOLOv5 object detection model.

Training and Running a GAN for Fashion Design Generation

by Abdulkader Helwan

In this article we show you how to train the GAN for fashion design generation.

Training Your Own TensorFlow Neural Network For Android

by Joel Ivory Johnson

In this article we will generate output from a program will provide a TensorFlow freeze graph ready to be used or converted to TensorFlow Lite.

Transfer Learning with TensorFlow 2

by Nikola M. Živković

How to transfer leaning with TensorFlow2

Using an ONNX Neural Network Model with TensorFlow Lite on Android

by Joel Ivory Johnson

In this article we will take a pre-trained neural network and adapt it for use in TensorFlow Lite.

Using Autoencoders for Deep Fake Generation

by Sergio Virahonda

In this article we’ll start to focus on our DIY approach.

Using CodeProject.AI Server with Blue Iris

by Matthew Dennis

Integrating CodeProject.AI Server with the Blue Iris video security and webcam system

Using CycleGAN for Mobile Style Transfer

by Abdulkader Helwan

In this article, we discuss the CycleGAN architecture.

Using Docker for Facial Identification

by Sergey L. Gladkiy

In this article we create a Docker container for this system.

Using Pretrained Models to Detect People With OpenCV and ImageAI

by Glenn Prince

In this article, we'll have a look at some of the pretrained models we can use in ImageAI to start detecting people in images.

Using TensorFlow Lite Results with AI Hazard Detection on Android

by Joel Ivory Johnson

In this entry of the AI Hazard Detection on Android series we will interpret the results and provide the relevant information to the user.

Using the Live Camera with AI Hazard Detection on Android

by Joel Ivory Johnson

In the next part of the AI Hazard Detection on Android series, we’ll have the application process live data.

Video Face Transfer with Deep Fakes

by Sergio Virahonda

In the previous article I gave a general overview of deep fakes generation and the elements involved in the process.

Visualizing TensorFlow Lite AI Results on Android

by Joel Ivory Johnson

In the previous installation of this series, a TensorFlow Lite interpreter had examined an image and produced its output. In this article we learn how to interpret these results and create visualizations for them.