Capsule Networks and Education Targets
Machine Learning Street Talk (MLST)
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Optimizing Deep Learning Algorithms
This chapter discusses the challenges of optimizing algorithms in deep learning, particularly through capsule networks, and emphasizes the potential benefits of custom computer kernels over pre-built libraries like TensorFlow. It also critiques the hype surrounding neuromorphic and quantum computing while warning against unrealistic expectations in technological advancements.
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