An Introduction to Meteorology (13th Edition)

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    He insists that such a move could bring new luster to a tired field, one that in some respects is among “the most backwards disciplines in the academy.” Literary study, he argues, has been random and unsystematic. For any given period scholars focus on a select group of a mere few hundred texts: the canon. As a result, they have allowed a narrow distorting slice of history to pass for the total picture.Moretti offers bar charts, maps, and time lines instead, developing the idea of “distant reading,” set forth in his path-breaking essay “Conjectures on World Literature,” into a full-blown experiment in literary historiography, where the canon disappears into the larger literary system. Charting entire genres—the epistolary, the gothic, and the historical novel—as well as the literary output of countries such as Japan, Italy, Spain, and Nigeria, he shows how literary history looks significantly different from what is commonly supposed and how the concept of aesthetic form can be radically redefined.