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TensorFlow: Neural Networks and Working with Tables

Offered By: LinkedIn Learning

Tags

TensorFlow Courses Neural Networks Courses Gradient Descent Courses Feature Engineering Courses Loss Functions Courses

Course Description

Overview

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

Syllabus

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

Taught by

Jonathan Fernandes

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