Machine Learning
Introduction to Drawing Recognition and CNN Fundamentals
The course focuses on the fundamentals of drawing recognition using Convolutional Neural Networks (CNNs). It covers the basics of CNNs, their architecture, and how they can be applied to recognize hand-drawn sketches. The course also includes practical exercises to reinforce the concepts learned.
MatPlotLib
Python
TensorFlow
2 lessons
7 practices
1 hour
Badge for Deep Learning and Neural Networks,
Course details
Understanding the Problem of Drawing Recognition
Exploring MNIST Dataset Structure
Visualizing MNIST Digits with Matplotlib
Analyzing Digit Distribution in MNIST
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