Archive | Keras

Keras vs. TensorFlow – Which one is better and which one should I learn?

Should I be using Keras vs. TensorFlow for my project? Is TensorFlow or Keras better? Should I invest my time studying TensorFlow? Or Keras? The above are all examples of questions I hear echoed throughout my inbox, social media, and even in-person conversations with deep learning researchers, practitioners, and engineers. I even receive questions related […]

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Keras Tutorial: How to get started with Keras, Deep Learning, and Python

Inside this Keras tutorial, you will discover how easy it is to get started with deep learning and Python. You will use the Keras deep learning library to train your first neural network on a custom image dataset, and from there, you’ll implement your first Convolutional Neural Network (CNN) as well. The inspiration for this […]

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An interview with Francois Chollet

In today’s blog post, I interview arguably one of the most important researchers and practitioners in modern day deep learning, Francois Chollet. Francois is not only the creator of the Keras deep learning library, but he’s also a Google AI researcher. He will also be speaking at PyImageConf 2018 in August of this year. Inside this interview Francois discusses: […]

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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 […]

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Keras and deep learning on the Raspberry Pi

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” detector Me dressing up as Santa Clause! In keeping with the Christmas and Holiday season, […]

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