Using Deep Convolutional Neural Networks (DCNNs) for Time Series Forecasting Using Tensorflow - Part 3

In part 1 of this tutorial, we explained the advantages of and proposed a methodology for using DCNNs for time series analysis by converting time series into gray-scale images. In part 2, we defined a Python class and various methods to perform data processing. In our third and final part, we will...

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Using Deep Convolutional Neural Networks (DCNNs) for Time Series Forecasting Using Tensorflow - Part 2

In our last post, we discussed the importance of developing a strong forecasting engine to predict future energy consumption based on data from past energy consumption. We then discussed the suitability of using a Deep Convolutional Neural Network (DCNN) to form accurate predictions and examined...

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Using Deep Convolutional Neural Networks (DCNNs) for Time Series Forecasting Using Tensorflow - Part 1

Have you ever wondered how to convert a prediction problem into a new format so that you can solve it using available strong forecasting engines? In Part I of this tutorial, I will discuss how to solve one of the most challenging forecasting problems--the next state forecasting trend of electricity...

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Creating Extensions and Widgets in Oracle Commerce Cloud

Oracle Commerce Cloud has gained popularity as an optimal platform solution because it provides all the features needed to build a world-class e-commerce website while also allowing for a high level of customization. Today, we’ll discuss how to customize and enhance functionality in your OCC...

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Simple Product Creation in Oracle Commerce Cloud

An online catalog organizes your products, SKUs, and collections in a manner reflective of the way users navigate to them in your store. The store contains only one catalog, but that catalog can contain any number of collections, which can contain any number of products and associated SKUs. Does a...

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