Search results for "Convolutional Neural Network Development Programming"

I’m writing a book on Deep Learning and Convolutional Neural Networks (and I need your advice).

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 in Deep Learning/Neural Network tutorials here on the blog… But I’m here today to tell […]

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Keras vs. tf.keras: What’s the difference in TensorFlow 2.0?

In this tutorial you’ll discover the difference between Keras and tf.keras , including what’s new in TensorFlow 2.0. Today’s tutorial is inspired from an email I received last Tuesday from PyImageSearch reader, Jeremiah. Jeremiah asks: Hi Adrian, I saw that TensorFlow 2.0 was released a few days ago. TensorFlow developers seem to be promoting Keras, or […]

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Start Here with Computer Vision, Deep Learning, and OpenCV

Need help getting started with Computer Vision, Deep Learning, and OpenCV? Check out my step-by-step guides! What do you need help with? How Do I Get Started? Deep Learning Face Applications Optical Character Recognition (OCR) Object Detection Object Tracking Instance Segmentation and Semantic Segmentation Embedded and IoT Computer Vision Computer Vision on the Raspberry Pi […]

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Installing Keras with TensorFlow backend

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 engineers on the Google Brain Team. I’ll also (optionally) demonstrate how you can integrate OpenCV into […]

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PyImageSearch Gurus member spotlight: Tuomo Hiippala

In today’s blog post, I interview PyImageSearch Gurus member, Tuomo Hiippala, who was recently awarded a 28000€ grant (approximately $30,500 USD) to research how computer vision can be used to study visual culture, including social media images and photo archives. We’ll discuss his very unique area of research, which blends linguistics with computer vision, and how his work is […]

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