Learn the ins and outs of working with images in TensorFlow 2.0
Overview
Syllabus
Introduction
- Work with gray and color images using transfer learning and fine-tuning
- What you should know
- What is TensorFlow?
- Review of neural networks
- Working with color images and neural networks
- Challenge: Experiment with hyperparameters
- Solution: Experiment with hyperparameters
- Why the poor performance with neural networks?
- TensorFlow Hub
- What is transfer learning?
- Transfer learning with TensorFlow Hub
- TensorFlow Hub for CIFAR-10
- Monitoring the training process
- Using ModelCheckpoint
- Working with EarlyStopping
- Using TensorBoard
- Next steps
Taught by
Jonathan Fernandes