Uploaded October 2018 | Updated September 2026, 2 weeks ago
This training for Deep Learning and Artificial Intelligence beginners demonstrate how to develop a Multilayer Perceptron Model (MLP) for univariate time series forecasting in Artificial Neural Network (ANN) with one hidden layer only.
For this purpose I used Keras module that works in backend of Tensorflow.
This is a very simple example of using Deep Learning. Hoping you will apply this and much more advanced Machine Learning and Deep Learning algorithms in you real business cases.
Whole implementation made by Python (Anaconda for Jupyter Notebook Framework).
Prepared by Vytautas Bielinskas
LinkedIn: linkedin.com/in/bielinskas
This training for Deep Learning and Artificial Intelligence beginners demonstrate how to develop a Multilayer Perceptron Model (MLP) for univariate time series forecasting in Artificial Neural Network (ANN) with one hidden layer only.
For this purpose I used Keras module that works in backend of Tensorflow.
This is a very simple example of using Deep Learning. Hoping you will apply this and much more advanced Machine Learning and Deep Learning algorithms in you real business cases.
Whole implementation made by Python (Anaconda for Jupyter Notebook Framework).
Prepared by Vytautas Bielinskas
LinkedIn: linkedin.com/in/bielinskas
