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tutorial about basic techniques in machine learning including logistic regression, support vector machine, neural network

'Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.' -- Elon Musk, co-chair of OpenAI; co-founder and CEO of Tesla and SpaceX, Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. 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.

deep learning book from basic to advanced topics, best book for you to start learning deep learning

《用Word编辑论文的几个建议》 由于各方面的原因，大家主要还是用Microsoft　Word　(以下简称Word)编辑论文。Word在写科技论文方面虽然有一些先天不足，但却提供了非常强大的功能。如果不能充分利用这些功能，可能经常要为不断地调整格式而烦恼。我把自己以前使用Word的经验和教训总结一下，抛块砖。