Today’s blog post is inspired by PyImageSearch reader Ezekiel, who emailed me last week and asked: Hey Adrian, I went through your previous blog post on deep learning object detection along with the followup tutorial for real-time deep learning object detection. Thanks for those. I’ve been using your source code in my example projects but […]
Tag Archives | machine learning
Multi-label classification with Keras
Today’s blog post on multi-label classification with Keras was inspired from an email I received last week from PyImageSearch reader, Switaj. Switaj writes: Hi Adrian, thanks for the PyImageSearch blog and sharing your knowledge each week. I’m building an image fashion search engine and need help. Using my app a user will upload a photo […]
A fun, hands-on deep learning project for beginners, students, and hobbyists
Today’s blog post is a “bonus tutorial” in our most recent series on building a complete, end-to-end deep learning application: Part 1: How to (quickly) build a deep learning image dataset Part 2: Keras and Convolutional Neural Networks Part 3: Running Keras models on iOS with CoreML In this series we have been fulfilling a […]
Running Keras models on iOS with CoreML
In last week’s blog post, you learned how to train a Convolutional Neural Network (CNN) with Keras. Today, we’re going to take this trained Keras model and deploy it to an iPhone and iOS app using what Apple has dubbed “CoreML”, an easy-to-use machine learning framework for Apple applications: To recap, thus far in this three-part series, […]
Keras and Convolutional Neural Networks (CNNs)
Today’s blog post is part two in a three-part series on building a complete end-to-end image classification + deep learning application: Part 1: How to (quickly) build a deep learning image dataset Part 2: Keras and Convolutional Neural Networks (today’s post) Part 3: Running a Keras model on iOS (to be published next week) By […]
Face detection with OpenCV and deep learning
Today I’m going to share a little known secret with you regarding the OpenCV library: You can perform fast, accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library. You may already know that OpenCV ships out-of-the-box with pre-trained Haar cascades that can be used for face detection… […]
Real-time object detection on the Raspberry Pi with the Movidius NCS
Today’s post is inspired by Danielle, a PyImageSearch reader who emailed me last week and asked: Hi Adrian, I’m enjoying your blog and I especially liked last week’s post about image classification with the Intel Movidius NCS. I’m still considering purchasing an Intel Movidius NCS for a personal project. My project involves object detection with […]
Getting started with the Intel Movidius Neural Compute Stick
Let me ask you three questions: What if you could could run state-of-the-art neural networks on a USB stick? What if you could see over 10x performance on this USB stick compared to your CPU? And what if this entire device costs under $100? Sound interesting? Enter Intel’s Movidius Neural Compute Stick (NCS). Raspberry Pi […]
Deep learning in production with Keras, Redis, Flask, and Apache
Shipping deep learning models to production is a non-trivial task. If you don’t believe me, take a second and look at the “tech giants” such as Amazon, Google, Microsoft, etc. — nearly all of them provide some method to ship your machine learning/deep learning models to production in the cloud. Going with a model deployment service […]
A scalable Keras + deep learning REST API
In today’s blog post we are going to create a deep learning REST API that wraps a Keras model in an efficient, scalable manner. Our Keras + deep learning REST API will be capable of batch processing images, scaling to multiple machines (including multiple web servers and Redis instances), and round-robin scheduling when placed behind […]