In this tutorial, you will learn how to perform regression using Keras and Deep Learning. You will learn how to train a Keras neural network for regression and continuous value prediction, specifically in the context of house price prediction. Today’s post kicks off a 3-part series on deep learning, regression, and continuous value prediction. We’ll […]
Machine Learning in Python
Struggling to get started with machine learning using Python? In this step-by-step, hands-on tutorial you will learn how to perform machine learning using Python on numerical data and image data. By the time you are finished reading this post, you will be able to get your start in machine learning. To launch your machine learning […]
Auto-Keras and AutoML: A Getting Started Guide
In this tutorial, you will learn how to use Auto-Keras, an open source alternative to Google’s AutoML, for automated machine learning and deep learning. When training a neural network on a dataset there are two primary objectives a deep learning practitioner is trying to optimize and balance: Defining a neural network architecture that lends itself […]
Keras Conv2D and Convolutional Layers
In today’s tutorial, we are going to discuss the Keras Conv2D class, including the most important parameters you need to tune when training your own Convolutional Neural Networks (CNNs). From there we are going to use the Keras Conv2D class to implement a simple CNN. We’ll then train and evaluate this CNN on the CALTECH-101 […]
How to use Keras fit and fit_generator (a hands-on tutorial)
In this tutorial, you will learn how the Keras .fit and .fit_generator functions work, including the differences between them. To help you gain hands-on experience, I’ve included a full example showing you how to implement a Keras data generator from scratch. Today’s blog post is inspired by PyImageSearch reader, Shey. Shey asks: Hi Adrian, thanks […]
Image Stitching with OpenCV and Python
In this tutorial, you will learn how to perform image stitching using Python, OpenCV, and the cv2.createStitcher and cv2.Stitcher_create functions. Using today’s code you’ll be able to stitch multiple images together, creating a panorama of stitched images. Just under two years ago I published two guides on image stitching and panorama construction: Fundamentals of image […]
Keras – Save and Load Your Deep Learning Models
In this tutorial, you will learn how to save and load your Keras deep learning models. This blog post was inspired by PyImageSearch reader, Mason, who emailed in last week and asked: Adrian, I’ve been going through your blog and reading your deep learning tutorials. Thanks for them. I have a question though: After training, […]
Deep Learning and Medical Image Analysis with Keras
In this tutorial, you will learn how to apply deep learning to perform medical image analysis. Specifically, you will discover how to use the Keras deep learning library to automatically analyze medical images for malaria testing. Such a deep learning + medical imaging system can help reduce the 400,000+ deaths per year caused by malaria. […]
Instance segmentation with OpenCV
In this tutorial, you will learn how to perform instance segmentation with OpenCV, Python, and Deep Learning. Back in September, I saw Microsoft release a really neat feature to their Office 365 platform — the ability to be on a video conference call, blur the background, and have your colleagues only see you (and not […]
Mask R-CNN with OpenCV
In this tutorial, you will learn how to use Mask R-CNN with OpenCV. Using Mask R-CNN you can automatically segment and construct pixel-wise masks for every object in an image. We’ll be applying Mask R-CNNs to both images and video streams. In last week’s blog post you learned how to use the YOLO object detector to […]