Machine Learning
Drawing Recognition with CNNs for Sketches
The course focuses on the application of Convolutional Neural Networks (CNNs) for recognizing hand-drawn sketches. It covers the architecture of CNNs, how they can be trained on sketch datasets, and practical exercises to reinforce the concepts learned.
MatPlotLib
Numpy
Python
TensorFlow
4 lessons
14 practices
2 hours
Badge for Deep Learning and Neural Networks,
Course details
Building the CNN Model for Sketch Recognition
Adding Dense Layer to the Model
Building the CNN Foundation
Completing the CNN Architecture
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