Keras, Regression, and CNNs

In this tutorial, you will learn how to train a Convolutional Neural Network (CNN) for regression prediction with Keras. You’ll then train a CNN to predict house prices from a set of images. Today is part two in our three-part series on regression prediction with Keras: Part 1: Basic regression with Keras — predicting house prices […]

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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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Machine Learning in Python

Struggling to get started with machine learning using Python? In this step-by-step, hands-on tutorial you will learn how to perform machine learning using Python on numerical data and image data. By the time you are finished reading this post, you will be able to get your start in machine learning. To launch your machine learning […]

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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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