Archive | Deep Learning

Regression with Keras

In this tutorial, you will learn how to perform regression using Keras and Deep Learning. You will learn how to train a Keras neural network for regression and continuous value prediction, specifically in the context of house price prediction. Today’s post kicks off a 3-part series on deep learning, regression, and continuous value prediction. We’ll […]

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Auto-Keras and AutoML: A Getting Started Guide

In this tutorial, you will learn how to use Auto-Keras, an open source alternative to Google’s AutoML, for automated machine learning and deep learning. When training a neural network on a dataset there are two primary objectives a deep learning practitioner is trying to optimize and balance: Defining a neural network architecture that lends itself […]

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How to use Keras fit and fit_generator (a hands-on tutorial)

In this tutorial, you will learn how the Keras .fit  and .fit_generator  functions work, including the differences between them. To help you gain hands-on experience, I’ve included a full example showing you how to implement a Keras data generator from scratch. Today’s blog post is inspired by PyImageSearch reader, Shey. Shey asks: Hi Adrian, thanks […]

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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 […]

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