Math and Architectures of Deep Learning

Paperback Engels 2024 9781617296482
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications.
Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems. 

Specificaties

ISBN13:9781617296482
Taal:Engels
Bindwijze:Paperback

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<div class="product-page-section table-of-contents meap-contents" style="box-sizing: border-box; margin-bottom: 36px; color: rgb(51, 51, 51); font-family: Lato, -apple-system, BlinkMacSystemFont, &quot;avenir next&quot;, avenir, &quot;helvetica neue&quot;, helvetica, Ubuntu, roboto, noto, &quot;segoe ui&quot;, arial, sans-serif; font-size: 17.25px; background-color: rgb(255, 255, 255);"> <h2 class="header" style="box-sizing: border-box; line-height: 1.1; color: inherit; margin: 0px 0px 10px; font-size: 27px; text-transform: lowercase;"><span style="box-sizing: border-box;">table of contents</span></h2> <div class="toc" style="box-sizing: border-box; padding-top: 0px; user-select: none; margin-bottom: 0px; padding-bottom: 0px;"> <div class="sect1 available" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase;"> <span class="book_actions" style="box-sizing: border-box;"><a class="view-in-livebook" href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-1?origin=product-toc" title="Read in liveBook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(51, 51, 51); text-decoration-line: none; display: block; float: right;"><span class="sr-only" style="box-sizing: border-box; border: 0px; clip: rect(0px, 0px, 0px, 0px); height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_1" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-1?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">1</span>AN OVERVIEW OF MACHINE LEARNING AND DEEP LEARNING</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; -webkit-font-smoothing: antialiased; display: inline-block; font-variant-numeric: normal; font-variant-east-asian: normal; text-rendering: auto; line-height: 1; font-family: &quot;Font Awesome 5 Free&quot;;"></span></a></h2> </div> <div class="sect1 available" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <span class="book_actions" style="box-sizing: border-box;"><a class="view-in-livebook" href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-2?origin=product-toc" title="Read in liveBook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(51, 51, 51); text-decoration-line: none; display: block; float: right;"><span class="sr-only" style="box-sizing: border-box; border: 0px; clip: rect(0px, 0px, 0px, 0px); height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_2" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-2?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">2</span>INTRODUCTION TO VECTORS, MATRICES AND TENSORS FROM MACHINE LEARNING AND DATA SCIENCE POINT OF VIEW</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; 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padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_3" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-3?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">3</span>INTRODUCTION TO VECTOR CALCULUS FROM MACHINE LEARNING POINT OF VIEW</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; 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line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-4?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">4</span>LINEAR ALGEBRAIC TOOLS IN MACHINE LEARNING AND DATA SCIENCE</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; -webkit-font-smoothing: antialiased; display: inline-block; font-variant-numeric: normal; font-variant-east-asian: normal; text-rendering: auto; line-height: 1; font-family: &quot;Font Awesome 5 Free&quot;;"></span></a></h2> </div> <div class="sect1 available" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <span class="book_actions" style="box-sizing: border-box;"><a class="view-in-livebook" href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-5?origin=product-toc" title="Read in liveBook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(51, 51, 51); text-decoration-line: none; display: block; float: right;"><span class="sr-only" style="box-sizing: border-box; border: 0px; clip: rect(0px, 0px, 0px, 0px); height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_5" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-5?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">5</span>PROBABILITY DISTRIBUTIONS FOR MACHINE LEARNING AND DATA SCIENCE</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; -webkit-font-smoothing: antialiased; display: inline-block; font-variant-numeric: normal; font-variant-east-asian: normal; text-rendering: auto; line-height: 1; font-family: &quot;Font Awesome 5 Free&quot;;"></span></a></h2> </div> <div class="sect1 available" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <span class="book_actions" style="box-sizing: border-box;"><a class="view-in-livebook" href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-6?origin=product-toc" title="Read in liveBook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(51, 51, 51); text-decoration-line: none; display: block; float: right;"><span class="sr-only" style="box-sizing: border-box; border: 0px; clip: rect(0px, 0px, 0px, 0px); height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_6" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-6?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">6</span>BAYESIAN TOOLS FOR MACHINE LEARNING AND DATA SCIENCE</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; 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height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_7" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-7?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">7</span>FUNCTION APPROXIMATION: HOW NEURAL NETWORKS MODEL THE WORLD</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; 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line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-8?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">8</span>TRAINING NEURAL NETWORKS: FORWARD AND BACKPROPAGATION</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; -webkit-font-smoothing: antialiased; display: inline-block; font-variant-numeric: normal; font-variant-east-asian: normal; text-rendering: auto; line-height: 1; font-family: &quot;Font Awesome 5 Free&quot;;"></span></a></h2> </div> <div class="sect1 available" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <span class="book_actions" style="box-sizing: border-box;"><a class="view-in-livebook" href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-9?origin=product-toc" title="Read in liveBook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(51, 51, 51); text-decoration-line: none; display: block; float: right;"><span class="sr-only" style="box-sizing: border-box; border: 0px; clip: rect(0px, 0px, 0px, 0px); height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_9" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-9?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">9</span>LOSS, OPTIMIZATION AND REGULARIZATION</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; -webkit-font-smoothing: antialiased; display: inline-block; font-variant-numeric: normal; font-variant-east-asian: normal; text-rendering: auto; line-height: 1; font-family: &quot;Font Awesome 5 Free&quot;;"></span></a></h2> </div> <div class="sect1 available" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <span class="book_actions" style="box-sizing: border-box;"><a class="view-in-livebook" href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-10?origin=product-toc" title="Read in liveBook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(51, 51, 51); text-decoration-line: none; display: block; float: right;"><span class="sr-only" style="box-sizing: border-box; border: 0px; clip: rect(0px, 0px, 0px, 0px); height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="chapter_id_10" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/chapter-10?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">10</span>ONE, TWO AND THREE DIMENSIONAL CONVOLUTION AND TRANSPOSED CONVOLUTION IN NEURAL NETWORKS</a><a class="toc-controllo toc-expando" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-right expando" title="Expand" style="box-sizing: border-box; -webkit-font-smoothing: antialiased; display: inline-block; font-variant-numeric: normal; font-variant-east-asian: normal; text-rendering: auto; line-height: 1; font-family: &quot;Font Awesome 5 Free&quot;;"></span></a></h2> </div> <div class="sect1" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <h2 id="chapter_id_11" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px;">11 IMAGE ANALYSIS: 2D CONVOLUTION BASED NEURAL NETWORK ARCHITECTURES FOR OBJECT RECOGNITION AND DETECTION</h2> </div> <div class="sect1" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <h2 id="chapter_id_12" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px;">12 VIDEO ANALYSIS: 3D CONVOLUTION BASED SPATIO TEMPORAL NEURAL NETWORK ARCHITECTURES</h2> </div> <div class="sect1 available" style="box-sizing: border-box; font-weight: bold; text-transform: uppercase; margin-top: 6px;"> <span class="book_actions" style="box-sizing: border-box;"><a class="view-in-livebook" href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/appendix?origin=product-toc" title="Read in liveBook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(51, 51, 51); text-decoration-line: none; display: block; float: right;"><span class="sr-only" style="box-sizing: border-box; border: 0px; clip: rect(0px, 0px, 0px, 0px); height: 1px; margin: -1px; overflow: hidden; padding: 0px; position: absolute; width: 1px;">READ IN LIVEBOOK</span></a></span> <h2 id="_appendix" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; cursor: pointer;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/appendix?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;">APPENDIX A: APPENDIX</a><a class="toc-controllo toc-retracto" style="box-sizing: border-box; background-color: transparent; margin: -0.5em -0.5em -0.5em 0px; padding: 0.5em; cursor: pointer;"><span class="fa fa-caret-down retracto" title="Collapse" style="box-sizing: border-box; -webkit-font-smoothing: antialiased; display: inline-block; font-variant-numeric: normal; font-variant-east-asian: normal; text-rendering: auto; line-height: 1; font-family: &quot;Font Awesome 5 Free&quot;;"></span></a></h2> <div class="sectionbody shown-toc" style="box-sizing: border-box; margin-top: 10px; margin-bottom: 10px;"> <div class="sect2" style="box-sizing: border-box; margin-left: 19px;"> <a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/appendix/section-a-1?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><h3 id="_a_1_dot_product_and_cosine_of_the_angle_between_two_vectors" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; font-weight: normal; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; text-transform: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">A.1</span>Dot Product and cosine of the angle between two vectors</h3></a> </div> <div class="sect2" style="box-sizing: border-box; margin-left: 19px;"> <a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/appendix/section-a-2?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><h3 id="_a_2_computing_variance_of_gaussian_distribution" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; font-weight: normal; line-height: 22px; color: inherit; margin: 0px; font-size: 15px; text-transform: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">A.2</span>Computing variance of Gaussian Distribution</h3></a> </div> <div class="sect2" style="box-sizing: border-box; margin-left: 19px;"> <h3 id="_a_3_two_theorems_in_statistics" data-toggle="tooltip" data-placement="left" title="" data-original-title="Available" style="box-sizing: border-box; background-color: transparent; color: inherit; text-decoration-line: none; font-weight: normal; line-height: 22px; margin: 0px; font-size: 15px; text-transform: none;"><a href="https://livebook.manning.com/book/math-and-architectures-of-deep-learning/appendix/section-a-3?origin=product-toc" title="Read in liveBook" class="read-in-livebook" target="_blank" style="box-sizing: border-box; background-color: transparent; color: rgb(64, 127, 191); text-decoration-line: none;"><span class="leading-number" style="box-sizing: border-box; margin-right: 0.5em; display: inline-block; white-space: nowrap;">A.3</span>Two Theorems in Statistic</a></h3> </div> </div> </div> </div> </div>

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        Math and Architectures of Deep Learning