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Keras and TensorFlowLearn how to successfully apply Deep Learning to Computer Vision with Keras and TensorFlow using my free Keras tutorials and guides.
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…
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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…
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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…
Read More of Deep learning in production with Keras, Redis, Flask, and Apache
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…
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Today’s blog post is the most fun I’ve EVER had writing a PyImageSearch tutorial. It has everything we have been discussing the past few weeks, including: Deep learning Raspberry Pis 3D Christmas trees References to HBO’s Silicon Valley “Not Hotdog”…
Read More of Keras and deep learning on the Raspberry Pi
The Christmas season holds a special place in my heart. Not because I’m particularly religious or spiritual. Not because I enjoy cold weather. And certainly not because I relish the taste of eggnog (the consistency alone makes my stomach turn).…
Read More of Image classification with Keras and deep learning
Keras is undoubtedly my favorite deep learning + Python framework, especially for image classification. I use Keras in production applications, in my personal deep learning projects, and here on the PyImageSearch blog. I’ve even based over two-thirds of my new…
Read More of How-To: Multi-GPU training with Keras, Python, and deep learning
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