Computer Vision

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.

• 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