Mathematics of deep learning : an introduction / Leonid Berlyand and Pierre-Emmanuel Jabin.

By:

Contributor(s):

Material type:

TextSeries: De Gruyter TextbookPublication details: Bosten : De Gruyter, 2023.Description: vi, 126pISBN:

DDC classification:

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Book	Dept. of Computer Science	Dept. of Computer Science	006.31 BER/M (Browse shelf(Opens below))	Available	DCS5226

Browsing Dept. of Computer Science shelves Close shelf browser (Hides shelf browser)

Previous							No cover image available No cover image available	Next
Previous	006.31 ALP Introduction to Machine Learning	006.31 AMI Deep Learning Pipeline Building a Deep Learning Model with TensorFlow	006.31 APP Applications of optimization and machine learning in image processing and IoT /	006.31 BER/M Mathematics of deep learning : an introduction /	006.31 BEY Applied reinforcement learning with Python with OpenAI Gym, Tensorflow, and Keras	006.31 BIS Building machine learning and deep learning models on Google Cloud platform a comprehensive guide for beginners	006.31 BUS Machine learning	Next

There are no comments on this title.

to post a comment.