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Tensorflow

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Great Reads

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.
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.
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.
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 Abdulkader Helwan
In this article, we show you how to set up an Android Studio environment that is suitable for loading and running our .tflite model.
by Abdulkader Helwan
In this project, our aim is to run a mobile Image-to-Image translation model on the Android platform.
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 Abdulkader Helwan
In this article, we train a CycleGAN with a U-Net-based generator.

All Articles

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Tensorflow 

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12 Feb 2021
Abdulkader Helwan
In this article, we introduce transfer learning and ResNet50.
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16 Feb 2021
Abdulkader Helwan
In this article, we’ll discuss materials and methods for this project.
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17 Feb 2021
Abdulkader Helwan
In this article, we’ll work on restructuring ResNet50 to perform the new classification task.
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18 Feb 2021
Abdulkader Helwan
In this article, we’ll fine-tune our ResNet50 model.
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19 Feb 2021
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.
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22 Feb 2021
Abdulkader Helwan
In this article, we’ll show you how to build a network for Covid-19 detection from scratch.
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17 Mar 2021
Abdulkader Helwan
In this article we show you how to train VGG19 to recognize what people are wearing.
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15 Mar 2021
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.
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16 Mar 2021
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.
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18 Mar 2021
Abdulkader Helwan
In this article we evaluate VGG19 using real images taken by a phone camera.
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19 Mar 2021
Abdulkader Helwan
In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.
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22 Mar 2021
Abdulkader Helwan
In this article we show you how to train the GAN for fashion design generation.
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14 Jun 2021
Abdulkader Helwan
In this article, we discuss the concepts of conditional generative adversarial networks (CGAN).
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15 Jun 2021
Abdulkader Helwan
In this article, we discuss the CycleGAN architecture.
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16 Jun 2021
Abdulkader Helwan
In this article, we implement a CycleGAN from scratch.
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17 Jun 2021
Abdulkader Helwan
In this article, we train a CycleGAN with a U-Net-based generator.
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27 Jul 2021N
Abdulkader Helwan
In this project, our aim is to run a mobile Image-to-Image translation model on the Android platform.
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28 Jul 2021N
Abdulkader Helwan
In this article, we show you how to set up an Android Studio environment that is suitable for loading and running our .tflite model.
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23 Oct 2018
DataBytzAI
Using a pre-configured environment on Azure to create a "ready to go" Deep Learning machine
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8 Jun 2020
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.
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27 Apr 2021
Jarek Szczegielniak
In this article, we’ll create a container to run a CPU inference on the trained model.
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27 Apr 2021
Jarek Szczegielniak
In this article, we’ll adapt our image for Raspberry Pi with an ARM processor.
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29 Apr 2021
Jarek Szczegielniak
In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.
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18 May 2021
Jarek Szczegielniak
In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.
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19 May 2021
Jarek Szczegielniak
In this article we run an inference model for NLP using models persisted on a Docker volume.
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18 Jun 2018
Jesús Utrera
Second article of a series of articles introducing deep learning coding in Python and Keras framework
10 Dec 2020
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.
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17 Sep 2020
Joel Ivory Johnson
In this article we will take a pre-trained neural network and adapt it for use in TensorFlow Lite.
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18 Sep 2020
Joel Ivory Johnson
In this article we will create an Android application and import our TensorFlow Lite model into it.
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21 Sep 2020
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.
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22 Sep 2020
Joel Ivory Johnson
In this article we will consider the ways in which the network could be further optimized.
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23 Sep 2020
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.
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5 Jan 2021
Joel Ivory Johnson
This article series will show readers how to create a real-time AI hazard detector using an Android device.
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6 Jan 2021
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.
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7 Jan 2021
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.
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8 Jan 2021
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.
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11 Jan 2021
Joel Ivory Johnson
In the next entry of the AI Hazard Detection on Android series, we will look at crash detection and notifications.
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12 Jan 2021
Joel Ivory Johnson
In the next part of the AI Hazard Detection on Android series, we’ll have the application process live data.
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16 Sep 2020
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
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9 Sep 2020
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.
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12 May 2021
LOST_FREEMAN
Hands-on data science competition with TensorFlow on .NET
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15 Apr 2021
Martin_Rupp
Tools and software required to build a DL-based automatic translation system
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16 Apr 2021
Martin_Rupp
In this article we’ll build our AI language translation system.
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14 Nov 2020
MehreenTahir
In this article we load a pre-trained model using TensorFlow.js to predict the breed of the dog inside our web browser.
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19 Aug 2020
MehreenTahir
In this article we create a web app that trains the classifier on the go and recognizes grumpy facial expressions.
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20 Aug 2020
MehreenTahir
In this will article extend our model to do custom classification in real time using a webcam.
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21 Aug 2020
MehreenTahir
In this article we use another pre-trained model, face-api.js, to detect expressions without doing any training ourselves.
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24 Aug 2020
MehreenTahir
In this article we’ll predict someone’s gender and age in the browser.
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8 Jul 2020
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.
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9 Jul 2020
Raphael Mun
In this article, we’ll dive into computer vision running right within a web browser.
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10 Jul 2020
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.
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13 Jul 2020
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.
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14 Jul 2020
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.
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15 Oct 2020
Raphael Mun
This is the first in a series of article where we'll explain how to create an AI chatbot using transformers.
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16 Oct 2020
Raphael Mun
In this article, we’ll build a trivia chatbot.
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19 Oct 2020
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.
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20 Oct 2020
Raphael Mun
In this article we will create a knowledge chatbot.
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21 Oct 2020
Raphael Mun
In this article, we'll create a chatbot we can have a dialogue with.
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22 Oct 2020
Raphael Mun
In this article we’ll build a Shakespearean Monologue Generator in the Browser with TensorFlow.js.
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2 Feb 2021
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.
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3 Feb 2021
Raphael Mun
In this article we'll use the key facial landmarks to infer more information about the face from the images.
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4 Feb 2021
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.
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5 Feb 2021
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.
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8 Feb 2021
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.
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9 Feb 2021
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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15 Jul 2020
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.
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12 Nov 2020
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.
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17 Nov 2020
Ruturaj Raval
In this article we’ll carry out real-time testing of our app.
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20 Jul 2021N
Sergey L. Gladkiy
In this article I’ll explain how to perform the alignment based on the face landmarks the detector has found.
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25 Feb 2021
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.
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26 Feb 2021
Sergio Virahonda
In this article we talk about anomaly detection on time series data.
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1 Mar 2021
Sergio Virahonda
In the next article, we are going to discuss forecasting on Bitcoin time series.
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2 Mar 2021
Sergio Virahonda
In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.
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30 Mar 2021
Sergio Virahonda
In this article we'll build and train our models with them.
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25 Jan 2021
Sergio Virahonda
Different approaches to create a face mask detector
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26 Jan 2021
Sergio Virahonda
In this article we prepare a face mask images for our AI model training.
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27 Jan 2021
Sergio Virahonda
In this article in the series, we label a face mask dataset.
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28 Jan 2021
Sergio Virahonda
In this article, we’re going to use the dataset to train a YOLOv5 object detection model.
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29 Jan 2021
Sergio Virahonda
In this article we test a face mask detector on a regular computer.
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1 Feb 2021
Sergio Virahonda
In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.
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5 Apr 2021
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.
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24 Mar 2021
Sergio Virahonda
In the previous article I gave a general overview of deep fakes generation and the elements involved in the process.
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25 Mar 2021
Sergio Virahonda
In this article I’ll explain the different options we can choose from to create deep fakes.
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26 Mar 2021
Sergio Virahonda
In this article we’ll start to focus on our DIY approach.
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29 Mar 2021
Sergio Virahonda
In this article, I’ll go through what’s required to preprocess videos and prepare them to be fed into our models.
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1 Apr 2021
Sergio Virahonda
In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.
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6 Apr 2021
Sergio Virahonda
In this article, we complete the pipeline for our Deep Fakes DIY solution.
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8 Apr 2021
Sergio Virahonda
In this article we’ll explore DeepFaceLab as an alternative to our last approach.
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5 May 2021
Sergio Virahonda
In this article, we’ll implement automatic training.
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22 Jun 2020
Thomas Daniels
In this article, let’s dive into Keras, a high-level library for neural networks.
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23 Jun 2020
Thomas Daniels
In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.
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11 Oct 2019
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.