TensorFlow: Neural Networks and Working with Tables

Learn about neural networks and working with tabular data using TensorFlow.

Introduction

• Using TensorFlow for neural networks and tables
• What you should know
• What is TensorFlow?

1. Fashion MNIST and Neural Networks

• Working with the Fashion-MNIST dataset
• Neural network intuition
• Train the network

2. Working with Loss, Gradient Descent, and Optimizers

• Loss
• Gradient descent
• Optimizers
• Neural network visualization

3. Working with Tabular Data

• Introduction to the Titanic dataset
• Comparing the Titanic model to the Fashion-MNIST model
• tf.data API
• Feature engineering
• Train and evaluate the model

Conclusion

• Next steps and additional resources