Book Image

Keras 2.x Projects

By : John Bura
Book Image

Keras 2.x Projects

By: John Bura

Overview of this book

Keras is a Python library that provides a simple and clean way to create a range of deep learning models. This course introduces you to Keras and shows you how to create applications with maximum readability. You take your first steps by getting introduced to Keras, its benefits, and its applications. As you get comfortable with Keras, you will learn how to predict business outcomes using time series data and various forecasting techniques. By learning the basic concepts of reinforcement learning, you will be able to create algorithms that can learn and adapt to environmental changes and control your robots. Then, you will learn various natural language processing techniques and use the Natural Language Toolkit to analyze, classify, and tag text. By the end of the course, you’ll have the skills and the confidence to work on existing deep learning projects or create your own applications. The code bundle for this course can be downloaded from here: https://github.com/TrainingByPackt/Keras-2.X-Projects-eLearning
Table of Contents (4 chapters)
Chapter 2
Stock Volatility Forecasting Using Long Short-Term Memory
Content Locked
Section 2
The Basics of Forecasting
Forecasting the data and information related to the evolution of variables is of crucial importance for the setting of plans for the policies of any activity. For example, to plan the production of a company, it is not enough to know that the demand for products or services is increasing or decreasing, but it is essential to predict the trend of future demand for products, prices, and raw material costs. All of these factors are considered influential in production activity. Here are the topics that we will cover now: - Forecasting - Forecast Horizon - Forecasting Methods - Quantitative Methods - Qualitative Methods - How Do We Forecast?