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Computer Vision

via Kaggle

Overview

Build convolutional neural networks with TensorFlow and Keras.
  • Create your first computer vision model with Keras.
  • Discover how convnets create features with convolutional layers.
  • Learn more about feature extraction with maximum pooling.
  • Explore two important parameters: stride and padding.
  • Design your own convnet.
  • Boost performance by creating extra training data.
  • Use Kaggle's free TPUs to make a submission to the Petals to the Metal competition!
  • Use Kaggle's free TPUs to make a submission to the Cassava Leaf Disease Classification competition.

Syllabus

  • The Convolutional Classifier
  • Convolution and ReLU
  • Maximum Pooling
  • The Sliding Window
  • Custom Convnets
  • Data Augmentation
  • Create Your First Submission
  • Getting Started: TPUs + Cassava Leaf Disease

Taught by

Ryan Holbrook

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