dynamicwebpaige / Keras Tutorial
3-hour tutorial on building deep learning models with Keras.
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Keras Tutorial
This repo contains curriculum to support a three-hour introductory workshop on building deep learning models with Keras and TensorFlow. For more samples, an engineering blog, and extended discussion, I sincerely recommend checking out the Keras website, as well as Francois Chollet's phenomenal book, Deep Learning with Python.
HOUR 1: INTRODUCTION TO DEEP LEARNING
- What is deep learning, and why should you care?
- What is TensorFlow, and why can it be a pain to use?
- What is Keras, and why is it delightful?
HOUR 2: GETTING STARTED WITH FEEDFORWARD NEURAL NETWORKS
- Building a feedforward neural network by hand, and with
numpy - Incorporating back propagation by hand and with
numpy - Interpolating values for hidden nodes and building intuition
HOUR 3: GETTING STARTED WITH KERAS
- Specifying the model (
Sequential(),.add()-ing layers) - Compiling the model (
.compile(), adding optimizers, understandingloss) - Fitting the model (
.fit()with predictors and targets) - Optimizing the model (changing architectures - nodes, layers)
For questions about coursework, models, data and implementation, please contact Paige Bailey.
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