Lstm

Introduction In this blog, I’ll explore additional usage of ML models to forecast (t+n) horizons with lagged exogenous variables. On top of that, I’ll deploy a neural network time-series model to create a benchmark for later comparison. Let’s first familiarize ourselves with the data. I downloaded hourly electricity prices from the…

Problem Description A programmable logic controller (PLC) is a specialized industrial computer used to control manufacturing processes, including assembly, machines, and robotic devices. A challenge arises when these devices encounter errors, requiring operators to manually search for the error, diagnose the issue, and determine the appropriate corrective action. To address this challenge…

A Powerful Recurrent Neural Network Architecture Introduction: In the realm of deep learning, recurrent neural networks (RNNs) have proven to be highly effective for modeling sequential data. One popular variant of RNNs is the Gated Recurrent Unit (GRU), which addresses some limitations of traditional RNNs such as the vanishing gradient…

The LSTM (Long Short-Term Memory) architecture is a type of recurrent neural network (RNN) that is designed to overcome the limitations of traditional RNNs in capturing and preserving long-term dependencies in sequential data. To understand the LSTM architecture, let’s break it down into its key components: Input, Output, and Hidden…

Title: Unveiling the Power of Recurrent Neural Networks (RNNs) Introduction In the vast field of data science and machine learning, there are numerous algorithms and models designed to tackle different types of data. When it comes to sequential data, such as time series or natural language, Recurrent Neural Networks (RNNs)…

Business Problem Telstra, one of the leading telecommunications companies, collects vast amounts of network disruption data on a daily basis. This data contains information about network outages, service interruptions, and other incidents that impact the performance and reliability of their network infrastructure. However, Telstra faces a significant challenge in effectively managing and…

I’m working from this notebook today, and I’ll show you how to not only train a Long-Short Term Memory model, but also quickly benchmark it against alternatives. Getting some data Pick a stream…

Hey readers, hope you all are doing well, safe, and sound. I hope you have already read the previous blog. The previous blog briefly discussed Gated Recurrent Unit (GRU) and its implementation. If you didn’t read that you can go through this link. …

Introduction In an era driven by technology and fueled by innovation, few companies have left an indelible mark on the global marketplace as Amazon has. From its humble beginnings as an online bookseller to becoming an e-commerce giant and expanding into various industries, Amazon has captured the world’s attention. …