Symbolic Computation in Deep Learning Networks
"Explore the complexity of optimization functions in deep learning networks, where symbolic calculations ease the process. Dive into topics like Support Vector Machines, Principal Component Analysis, and gradient calculations using Theano for efficient machine learning operations."
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Presentation Transcript
w Principal Component Analysis (PCA) min s. t. Sparse Coding / Deep Learning
The optimization function becomes arbitrarily complicated based on the network and its connections. Usually solved by backpropagation Symbolic calculations make the calculation easier
