Overview
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Learn about neural networks and working with tabular data using TensorFlow.
Syllabus
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Introduction
- Using TensorFlow for neural networks and tables
- What you should know
- What is TensorFlow?
- Working with the Fashion-MNIST dataset
- Neural network intuition
- Train the network
- Loss
- Gradient descent
- Optimizers
- Neural network visualization
- Introduction to the Titanic dataset
- Comparing the Titanic model to the Fashion-MNIST model
- tf.data API
- Feature engineering
- Train and evaluate the model
- Next steps and additional resources
