March 2018
Intermediate to advanced
320 pages
7h 53m
English
book
TensorFlow Deep Learning Projects
by Alexey Grigorev, Srinivas Kulkarni, Rajalingappaa Shanmugamani
Content preview from TensorFlow Deep Learning Projects
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Stock Price Prediction with LSTM
In this chapter, you'll be introduced to how to predict a timeseries composed of real values. Specifically, we will predict the stock price of a large company listed on the NYSE stock exchange, given its historical performance.
In this chapter we will look at:
- How to collect the historical stock price information
- How to format the dataset for a timeseries prediction task
- How to use regression to predict the future prices of a stock
- Long short-term memory (LSTM) 101
- How LSTM will boost the predictive performance
- How to visualize the performance on the Tensorboard
Each of these bullet points is a section in this chapter. Moreover, to make the chapter visually and intuitively easier to understand, we will ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.