A simple neural network with Python and Keras - PyImageSearch
Learn how to create a simple neural network using the Keras neural network and deep learning library along with the Python programming language.
Google releases new TensorFlow Object Detection API – TechCrunch
Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and performance — the models being released today have performed well in benchmarking and have become regularly used in research. The handful of models […]
Face Detection Using Python and OpenCV - The Mouse Vs. The Python
Machine Learning, artificial intelligence and face recognition are big topics right now. So I thought it would be fun to see how easy it is to use Python to detect faces in photos. This article will focus on just detecting faces, not face recognition which is actually assigning a name to a face. The most … Continue reading Face Detection Using Python and OpenCV →
Using Object Detection for Complex Image Classification Scenarios Part 3:
TLDR; This series is based on the work detecting complex policies in the following real life code story. Code for the series can be found here. In the previous tutorials we outlined our policy…
How To Train an Object Detection Neural Network Using TensorFlow (GPU) on Windows 10
This tutorial shows you how to train your own object detector for multiple objects using Google's TensorFlow Object Detection API on Windows. An updated writ...
Object Detection with Luminoth
Luminoth is an open source computer vision library built in Python and based on TensorFlow and Sonnet. Learn how this powerful library simply and effectively performs object detection.
[PDF] Handwriting Recognition with Large Multidimensional Long Short-Term Memory Recurrent Neural Networks | Semantic Scholar
Multidimensional long short-term memory recurrent neural networks achieve impressive results for handwriting recognition. However, with current CPU-based implementations, their training is very expensive and thus their capacity has so far been limited. We release an efficient GPU-based implementation which greatly reduces training times by processing the input in a diagonal-wise fashion. We use this implementation to explore deeper and wider architectures than previously used for handwriting…
CoreML: Real Time Camera Object Detection with Machine Learning - Swift 4
Learn how to put together a Real Time Object Detection app by using one of the newest libraries announced in this year's WWDC event. The combination of CPU and GPU allows for maximum efficiency in using inference technology from Machine Learning which enables us to create today's application. SqueezeNet and Resnet50 models can downloaded near the bottom at: https://developer.apple.com/machine-learning/ More detailed lessons on Showing the Camera…