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Description
This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up, this is essential reading for any scientists, instructors, and students interested in artificial intelligence and deep learning. It provides guidance on how to think about scientific questions, and leads readers through the history of the field and its fundamental connections to neuroscience. The author...
Description
"Advancements in computing, instrumentation, robotics, digital imaging, and simulation modeling are changing science into a technology-driven institution. The pragmatic interests of government, industry, and society increasingly exert their influence over science, raising questions of values and objectivity. These and other profound changes in the world of science have led many to speculate that we are in the midst of an epochal break in scientific...
Author
Description
Baird describes the thing-yness of things, and he shows how objects themselves -- especially scientific instruments -- can represent knowledge of the known world. One can theorize on a culture's knowledge by looking at its tools. Often these physical artifacts are the best remaining products of material culture, they identify the theories of science and technology at the time, and any differences indicated the culture's changing needs or philosophy....
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