Fundamentals of deep learning : designing next-generation machine intelligence algorithms (Record no. 297222)
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fixed length control field | 01584nam a22001457a 4500 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.31 |
Item number | BAU.F |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Buduma, Nikhil and Locascio, Nicholas |
245 ## - TITLE STATEMENT | |
Title | Fundamentals of deep learning : designing next-generation machine intelligence algorithms |
500 ## - GENERAL NOTE | |
General note | Photocopy |
520 ## - SUMMARY, ETC. | |
Summary, etc. | <br/>With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you're familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks ; Learn how to train feed-forward neural networks ; Use TensorFlow to implement your first neural network ; Manage problems that arise as you begin to make networks deeper ; Build neural networks that analyze complex images ; Perform effective dimensionality reduction using autoencoders ; Dive deep into sequence analysis to examine language ; Understand the fundamentals of reinforcement learning.--Publisher website. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial Intelligence |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine Learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Neural Networks |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
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Dewey Decimal Classification | Gift or donation | Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | Processing Center | 19/10/2019 | 006.31 BAU.F.1 | DCBG-0276 | 19/10/2019 | 19/10/2019 | Book | GIFT BY DR. ACHUTH SANKAR S NAIR | |||||
Dewey Decimal Classification | Gift or donation | Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | Book Cart | 19/10/2019 | 006.31 BAU.F.2 | DCBG-0277 | 19/10/2019 | 19/10/2019 | Book | GIFT BY DR. ACHUTH SANKAR S NAIR |