Archive | Keras

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. […]

Continue Reading 99

Deep learning, hydroponics, and medical marijuana

In today’s blog post we will investigate a practical use case of applying deep learning to hydroponics, a type of method used to grow plants without soil using mineral-rich nutrient solutions in a water solvent. Specifically, you will learn how to train a Convolutional Neural Network (CNN) using Keras to automatically classify root health without […]

Continue Reading 39

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 […]

Continue Reading 30

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 […]

Continue Reading 148

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: […]

Continue Reading 43
[email]
[email]