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Hands on deep learning algorithms with python: Master deep learning algorithms with extensive math by implementing them using Tensorflow Sudharsan Ravichandiran.
Material type:
TextPublication details: Birmingham: Packt; c2019.Description: 493p.: ill.; 25cmISBN: - 9781789344158
- Q325.5 .R38 2019
Contents:
Introduction to Deep Learning -- Getting to Know TensorFlow Gradient descent and its variant -- Generating Song Lyrics Using RNN --Improvements to the RNN --Demystifying convolutional networks -- Learning text representations --Generating images using GANs -- Learning more abouts GANS -- Reconstructing inputs using autoncoders -- Exploring few-shot learning algorithms.
| Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
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Zetech Library - Mang'u Campus General Stacks | Non-fiction | Q325.5 .R38 2019 (Browse shelf(Opens below)) | C2 | Available | Z011520 | |
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Zetech Library - Ruiru Campus General Stacks | Non-fiction | Q325.5 .R38 2019 (Browse shelf(Opens below)) | C1 | Available | z011519 |
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| Q325.5 .D44 2020 Deep learning: algorithms and application/ | Q 325.5 .D5 2020 Mathematics for machine learning: | Q325.5 .K55 2023 Fundamentals of predictive analytics with JMP / | Q325.5 .R38 2019 Hands on deep learning algorithms with python: Master deep learning algorithms with extensive math by implementing them using Tensorflow | Q325.75 .H37 2017 The elements of statistical learning : data mining, inference, and prediction / | Q325.75 .H37 2017 The elements of statistical learning : data mining, inference, and prediction / | Q334.I398 2006 Advances in applied artificial intelligence : |
Introduction to Deep Learning -- Getting to Know TensorFlow Gradient descent and its variant -- Generating Song Lyrics Using RNN --Improvements to the RNN --Demystifying convolutional networks -- Learning text representations --Generating images using GANs -- Learning more abouts GANS -- Reconstructing inputs using autoncoders -- Exploring few-shot learning algorithms.
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