Seminar: Introduction to Deep Learning for Time Series Forecasting

• Lesson 1: Introductory concepts to start building deep learning models with Keras

  • Slides
  • Video (Spanish)
  • Colab notebook: MNIST classification using MLP and CNN

• Lesson 2: Deep learning architectures for time series forecasting problems

  • Slides
  • Video (Spanish)
  • Colab notebook: Time series forecasting

• Lesson 3: Tutorial on Azure Cloud for deep learning

  • Slides
  • Video (Spanish)

Summary of contents

• Fundamental concepts of neural networks (neurons, training with backpropagation, activation functions)

  • A more detailed explanation of theoretical concepts can be found at [Teoría Deep Learning (Spanish)]

• Deep learning architectures

  • Multi-layer perceptron (MLP)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (LSTM)
  • Temporal Convolutional Networks (TCN)

• How to apply deep learning for time series forecasting problems

• Practical examples with Keras using Google Colab notebooks

• Tutorial to experiment in virtual machines on Azure Cloud

Authors

• Pedro Lara-Benítez - @pedrolarben - LinkedIn
• Manuel Carranza-García - @carranza96 - LinkedIn