Fundamentals of Deep Learning: Designing Next Generation Machine Intelligence Algorithms

By:

Buduma, Nikhil

Contributor(s):

Locascio, Nicholas

Material type: Text

TextPublication details: Shroff Publishers & Distributors Pvt. Ltd. 2017 MumbaiDescription: 283pISBN:

9789352135608

Subject(s):

Computer Engineering

DDC classification:

006.32 BUD

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.32 BUD (Browse shelf(Opens below))	Available		M0036258

Total holds: 0

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Previous	006.312 YUE Discovery and Fusion of Uncertain Knowledge in Data	006.312 ZAF Social Media Mining: An Introduction	006.3122 HAS The Elements of Statistical Learning: Data Mining, Inference and Prediction	006.32 BUD Fundamentals of Deep Learning: Designing Next Generation Machine Intelligence Algorithms	006.33 ADA Knowledge Engineering Vol. - 1 Fundamentals	006.33 AGA Statistical Methods for Recommender Systems	006.33 JAC Introduction to Expert Systems	Next

1. The network
2. Training feed forward neural networks
3. Implementing neural networks in tensor flow
4. Beyond gradient Descent
5. Convolutional neural networks
6. Embedding and representation learning
7. Models for sequence analysis
8. Memory augmented networks
9. Deep reinforcement learning

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