Description:
Learn about the fundamental concepts of compressed representations in deep learning through this 27-minute lecture from the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), exploring the connections between algorithmic information theory and modern autoencoder architectures while discovering how compression principles influence deep learning model design and performance.
Compressed Representations in Deep Learning: From Algorithmic Information to Autoencoders and Neural Networks
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#Computer Science
#Deep Learning
#Machine Learning
#Artificial Intelligence
#Neural Networks
#Information Theory
#Dimensionality Reduction
#Autoencoders