You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Deep LearningLearn how to successfully apply Deep Learning to Computer Vision projects using Keras, TensorFlow, OpenCV, and more with my free Deep Learning tutorials and guides.
When it comes to working with deep learning + Python I highly recommend that you use a Linux environment. Deep learning tools can be more easily configured and installed on Linux, allowing you to develop and run neural networks quickly.…
Read More of Your deep learning + Python Ubuntu virtual machine
The Ubuntu VirtualBox virtual machine that comes with my book, Deep Learning for Computer Vision with Python, includes all the necessary deep learning and computer vision libraries you need (such as Keras, TensorFlow, scikit-learn, scikit-image, OpenCV, etc.) pre-installed. However, while…
Read More of Pre-configured Amazon AWS deep learning AMI with Python
Today’s blog post was inspired by PyImageSearch reader, Emmanuel. Emmanuel emailed me after last week’s tutorial on object detection with deep learning + OpenCV and asked: Hi Adrian, I really enjoyed last week’s blog post on object detection with deep…
Read More of Real-time object detection with deep learning and OpenCV
Last updated on July 7, 2021. A couple weeks ago we learned how to classify images using deep learning and OpenCV 3.3’s deep neural network (dnn ) module. While this original blog post demonstrated how we can categorize an image…
Read More of Object detection with deep learning and OpenCV
Two weeks ago OpenCV 3.3 was officially released, bringing with it a highly improved deep learning (dnn ) module. This module now supports a number of deep learning frameworks, including Caffe, TensorFlow, and Torch/PyTorch. Furthermore, this API for using pre-trained…
Read More of Deep Learning with OpenCV
A few months ago, I wrote a tutorial on how to classify images using Convolutional Neural Networks (specifically, VGG16) pre-trained on the ImageNet dataset with Python and the Keras deep learning library. The pre-trained networks inside of Keras are capable…
Read More of ImageNet: VGGNet, ResNet, Inception, and Xception with Keras
You may have heard me mention it in a passing comment on the PyImageSearch blog… Maybe I even hinted at it in a 1-on-1 email… Or perhaps you simply saw the writing on the wall due to the recent uptick…
Read More of I’m writing a book on Deep Learning and Convolutional Neural Networks (and I need your advice).
A few months ago I demonstrated how to install the Keras deep learning library with a Theano backend. In today’s blog post I provide detailed, step-by-step instructions to install Keras using a TensorFlow backend, originally developed by the researchers and…
Read More of Installing Keras with TensorFlow backend
In the previous section, we discussed gradient descent, a first-order optimization algorithm that can be used to learn a set of classifier weights for parameterized learning. However, this “vanilla” implementation of gradient descent can be prohibitively slow to run on…
Read More of Stochastic Gradient Descent (SGD) with Python
