14–17 Oct 2019
Convolutional neural networks for image recognition in Keras and TensorFlow (Day 2)
Location: Hilton Meeting Room 3/4
Average rating:
(4.00, 1 rating)
Who is this presentation for?
- You're a software engineer or programmer with a background in Python, and you wish to develop an understanding of CNNs and how to use them in your own projects.
Level
IntermediateDescription
NOTE: You will receive an introduction to the newly released TensorFlow (TF) 2.0 in this training.
Day 2
Morning
- Keras callbacks classes
- Keras functional APIs
- Saving and loading models and weights
- Example of saving and loading of weights and models with MNIST
- Transfer learning
- Using pretrained networks in Keras
- A practical application of transfer learning
- Development of a CNN with real images with transfer learning
LUNCH
Afternoon
- Neural style transfer
- An introduction
- Apply NST to your images
- tf.data.Dataset for data management
Prerequisite knowledge
- Familiarity with Python, basic mathematics, modeling, and statistics
What you'll learn
- Understand CNNs and how to implement them in Python, TensorFlow, and Keras
- Learn to develop CNNs, use pretrained networks like VGG16, and use them in art or practical problems like object detection in real-time with an image or with a webcam
Presented by
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