Keras

Great Reads

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.

AI Anomaly Detection on Bitcoin Time Series Data

by Sergio Virahonda

In this article we talk about anomaly detection on time series data.

Latest Articles

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.

AI Anomaly Detection on Bitcoin Time Series Data

by Sergio Virahonda

In this article we talk about anomaly detection on time series data.

All Articles

top

Keras

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.

AI Anomaly Detection on Bitcoin Time Series Data

by Sergio Virahonda

In this article we talk about anomaly detection on time series data.

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 Queue Length Detection: Object Detection in Images Using YOLO

by MehreenTahir

In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.

AI Queue Length Detection: Object Detection in Video Using YOLO

by MehreenTahir

In this we’ll see if we can implement YOLO on video feeds for queue length detection.

AI Queue Length Detection: Object detection using Keras

by MehreenTahir

This is the first in an article series where we’re going to show how to make an AI queue length detector.

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

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 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 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.

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

Competing on kaggle.com for the First Time

by Philipp_Engelmann

Competing on kaggle.com for the first time

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.

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.

Custom AI Face Recognition With Keras and CNN

by Arnaldo P. Castaño

In this article we’ll put together our CNN and train it for face recognition.

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#: Coin Recognition with a Pre-Trained Model in ML.NET

by Arnaldo P. Castaño

To end off this series, we will present the alternative of adapting a pre-trained CNN to the coin recognition problem we have been examining all along.

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

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.

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.

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.

How to Train and Test an AI Language Translation System

by Martin_Rupp

In this article, we’ll train and test the model we created in the previous entry in the series.

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.

Introduction to Face Identification

by Sergey L. Gladkiy

In this article, we focus on developing and testing a face identification algorithm along with the face detection module.

Introduction to Keras

by Thomas Daniels

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

Keras UI: A GUI to Manage Image Classification

by Daniele Fontani

A tool for managing CNN training built on django helps to understand image classification

Making Keras Models Portable Using ONNX

by Keith Pijanowski

In this article I provide a brief overview of Keras for those looking for a deep learning framework for building and training neural networks

Making PyTorch AI Models Portable Using ONNX

by Keith Pijanowski

In this article I provide a brief overview of PyTorch for those looking for a deep learning framework for building and training neural networks.

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.

Portable Neural Networks with ONNX

by Keith Pijanowski

This article is the first in a series of seven articles in which we will explore the value of ONNX with respect to three popular frameworks and three popular programming languages.

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 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.

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 AI and Machine Learning Libraries

by Thomas Daniels

In this article we can take a look at what libraries are available to work on AI and ML tasks.

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.

Spam Classification using Python and Keras

by Markus Glagla

How to prepare training and test data, define a simple neural network model, train and test it

Starting with Keras.NET in C# - Train Your First Model

by Garretenion

In this article, I want to show an example to make a simple .NET-Core App using Keras.NET and Zalandos Fashion-mnist.

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 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.

Using Autoencoders for Deep Fake Generation

by Sergio Virahonda

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

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 Portable ONNX AI Models in C#

by Keith Pijanowski

In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.

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.

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.

Why Use AI on Time-Series Data?

by Sergio Virahonda

This series of articles will guide you through the steps necessary to develop a fully functional time series forecaster and anomaly detector application with AI.