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Lesson 1: Introductory concepts to start building deep learning models with Keras
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Lesson 2: Deep learning architectures for time series forecasting problems
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Lesson 3: Tutorial on Azure Cloud for deep learning
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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)]
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Deep learning architectures
- Multi-layer perceptron (MLP)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (LSTM)
- Temporal Convolutional Networks (TCN)
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How to apply deep learning for time series forecasting problems
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Practical examples with Keras using Google Colab notebooks
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Tutorial to experiment in virtual machines on Azure Cloud
- Pedro Lara-Benítez - @pedrolarben - LinkedIn
- Manuel Carranza-García - @carranza96 - LinkedIn