This book is an outgrowth of a course developed at Stanford University over the past five years. It is suitable as a self-contained textbook for second-level undergraduates or for first-level graduate students in almost every field that employs quantitative methods. As prerequisites, it is assumed that the student may have had a first course in differential equations and a first course in linear algebra or matrix analysis. These two subjects, however, are reviewed in Chapters 2 and 3, insofar as they are required for later developments.
標簽： Introduction_to_Dynamic_Systems
上傳時間： 2020-06-10
上傳用戶：shancjb
Despite the development of a now vast body of knowledge known as modern control theory, and despite some spectacular applications of this theory to practical situations, it is quite clear that much of the theory has yet to find application, and many practical control problems have yet to find a theory which will successfully deal with them. No book of course can remedy the situation at this time. But the aim of this book is to construct one of many bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control theory.
上傳時間： 2020-06-10
上傳用戶：shancjb
Despite the development of a now vast body of knowledge known as modern control theory, and despite some spectacular applications of this theory to practical situations, it is quite clear that some of the theory has yet to find application, and many practical control problems have yet to find a theory that will successfully deal with them. No one book, of course, can remedy the situation. The aim of this book is to construct bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control theory.
標簽： Quadratic Optimal Control Methods Linear
上傳時間： 2020-06-10
上傳用戶：shancjb
Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.
標簽： Learning Machine Course in
上傳時間： 2020-06-10
上傳用戶：shancjb
It all started rather innocuously. I walked into Dr GT Murthy’s office one fine day, andchanged my life. “Doc” was then the General Manager, Central R&D, of a very largeelectrical company headquartered in Bombay. In his new state-of-the-art electronics center,he had hand-picked some of India’s best engineers (over a hundred already) ever assembledunder one roof. Luckily, he too was originally a Physicist, and that certainly helped me gainsome empathy. Nowadays he is in retirement, but I will always remember him as athoroughly fair, honest and facts-oriented person, who led by example. There were severalthings I absorbed from him that are very much part of my basic engineering persona today.You can certainly look upon this book as an extension of what Doc started many years agoin India … because that’s what it really is! I certainly wouldn’t be here today if I hadn’t metDoc. And in fact, several of the brash, high-flying managers I’ve met in recent years,desperately need some sort of crash course in technology and human values from Doc!
標簽： 開關(guān)電源
上傳時間： 2021-11-23
上傳用戶：
斯坦福大學-深度學習基礎(chǔ)教程.pdfUFLDL教程 From Ufldl 說明：本教程將闡述無監(jiān)督特征學習和深入學習的主要觀點。通過學習，你也將實現(xiàn)多個功能 學習/深度學習算法，能看到它們?yōu)槟愎ぷ鳎W習如何應用/適應這些想法到新問題上。 本教程假定機器學習的基本知識（特別是熟悉的監(jiān)督學習，邏輯回歸，梯度下降的想法），如果 你不熟悉這些想法，我們建議你去這里 機器學習課程 (http://openclassroom.stanford.edu/MainFolder/CoursePage.php? course=MachineLearning) ，并先完成第II，III，IV章（到邏輯回歸）。 稀疏自編碼器 神經(jīng)網(wǎng)絡(luò) 反向傳導算法 梯度檢驗與高級優(yōu)化 自編碼算法與稀疏性 可視化自編碼器訓練結(jié)果 稀疏自編碼器符號一覽表 Exercise:Sparse Autoencoder 矢量化編程實現(xiàn) 矢量化編程 邏輯回歸的向量化實現(xiàn)樣例 神經(jīng)網(wǎng)絡(luò)向量化 Exercise:Vectorization
標簽： 深度學習
上傳時間： 2022-03-27
上傳用戶：kingwide
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