February 2019
Beginner to intermediate
308 pages
7h 42m
English
Content preview from Neural Network Projects with Python
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Predicting Taxi Fares with Deep Feedforward Nets
In Chapter 3, Predicting Taxi Fares with Deep Feedforward Nets, we used a deep feedforward neural network in a regression prediction problem, where the task was to predict the dollar amount of a NYC taxi fare, based on features such as pick-up and drop-off locations. In this project, we had to work with a noisy dataset that included missing data and data anomalies. We saw how data visualization is essential to help us identify outliers in the dataset, and to discover important trends in the dataset.
This project was also the first project where feature engineering was done. Using the existing features, we created other features that improved the accuracy of our neural network. Finally, we ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.