built an LSTM network from scratch with Keras - Learn Data Science with Travis

built-an-LSTM-network-from-scratch-with-Keras

Building an LSTM (Long Short-Term Memory) network from scratch using Keras is an exciting venture into the world of deep learning. LSTMs are a type of recurrent neural network (RNN) designed to effectively learn from sequential data, making them ideal for tasks such as time series prediction, natural language processing, and music generation. Keras, a high-level neural networks API, simplifies the process of creating and training these complex models. In this guide, we will explore the fundamental concepts behind LSTMs, followed by a step-by-step implementation using Keras, enabling you to harness the power of LSTMs for your own projects.

A Very Simple LSTM

Python in Plain English

Building & Understanding LSTMs using Tensorflow Photo by Nastya Dulhiier on Unsplash Questions * How to prepare data for input into LSTM? * What is timestep & feature in LSTM input? * How is LSTM unr...

LSTM Recurrent Neural Network Keras Example

Towards Data Science

A step-by-by tutorial on how to perform sentiment analysis using a LSTM recurrent neural network implemented with Keras.

Today I Built a Neural Network During My Lunch Break with Keras

Towards Data Science

So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn’t believe that at all. Last time I tried (maybe 2 years ago?) it was still quite some…

How to Generate Music using a LSTM Neural Network in Keras

Towards Data Science

In this article we will cover how to generate music using a recurrent neural network in Keras

Building a LSTM by hand on PyTorch

Towards Data Science

The LSTM cell is one of the most interesting architecture on the Recurrent Neural Networks study field on Deep Learning: Not only it enables the model to learn from long sequences, but it also…

How to Reshape Input Data for Long Short-Term Memory Networks in Keras

Machine Learning Mastery

Last Updated on August 14, 2019 It can be difficult to understand how to prepare your sequence data for input to an LSTM model. Often there is confusion around how to define the input layer for the LS...

Building An LSTM Model From Scratch In Python

Towards AI

Long short-term memory (LSTM) is a type of Recurrent Neural Network (RNN) that are particularly useful for working with sequential data, such as time series, natural language, and audio data. LSTMs…

Coding your first ever LSTM Network

Becoming Human: Artificial Intelligence Magazine

LSTM is one of the most powerful algorithm out there when dealing with time series forecasting. The code which may span for several lines while dealing with models such as ARIMA can be completed…

LSTM’s

Python in Plain English

Welcome to ML Decoded, where I share my ML journey through blogs. In Episode 4 of our series, we delve into training an LSTM model from scratch, building on Episode 3, where we created an RNN for word...

Building our first neural network in keras

Towards Data Science

In this article, we will make our first neural network(ANN) using keras framework. This tutorial is part of the deep learning workshop. The link to lessons will be given below as soon as I update…

Keras LSTM Forecasting Using Synthetic Data

Analytics Vidhya

Keras LSTM can be a powerful tool for forecasting. Below is a simple template notebook showing how to setup a data science forecasting experiment. A synthetic dataset was generated using a…

A practical guide to RNN and LSTM in Keras

Towards Data Science

After going through a lot of theoretical articles on recurrent layers, I just wanted to build my first LSTM model and train it on some texts! But the huge list of exposed parameters for the layer and…...