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1.
Applied neural networks with tensorflow 2 : API orientied deep learning with python / Orhan Gazi Yalcin by
Material type: Text Text; Literary form: Not fiction
Publication details: USA Apress 2022
Availability: Items available for loan: BITS Pilani Hyderabad (1)Location, call number: General Stack (For lending) 006.31 YAL-O.

2.
Advanced applied deep leaning : convolutional neural networks and object detection / Umberto Michelucci by
Material type: Text Text; Literary form: Not fiction
Publication details: New York Apress 2022
Availability: Items available for loan: BITS Pilani Hyderabad (1)Location, call number: General Stack (For lending) 006.31 MIC-U.

3.
Real-time IoT imaging with deep neural networks : using Java on the raspberry Pi4 / Nicolas Modrzyk by
Material type: Text Text; Literary form: Not fiction
Publication details: New Jersey Apress 2022
Availability: Items available for loan: BITS Pilani Hyderabad (1)Location, call number: General Stack (For lending) 006.32 MOD-N.

4.
Artificial intelligence for business : what you need to know about machine learning and neural networks / Doug Rose by
Material type: Text Text; Literary form: Not fiction
Publication details: India Pearson 2022
Availability: Items available for loan: BITS Pilani Hyderabad (1)Location, call number: General Stack (For lending) 006.31 ROS-D.

5.
Hands-on question answering systems with BERT : applications n neural networks and natural language processing / Navin Sabharwal and Amit Agrawal by
Material type: Text Text; Literary form: Not fiction
Publication details: New York Springer 2022
Availability: Items available for loan: BITS Pilani Hyderabad (1)Location, call number: General Stack (For lending) 006.32 SAB-N.

6.
Neural networks for electronics hobbysts : a non-technical project-based introduction / Richard McKeon by
Material type: Text Text; Literary form: Not fiction
Publication details: New York Springer 2022
Availability: Items available for loan: BITS Pilani Hyderabad (1)Location, call number: General Stack (For lending) 006.32 MCK-R.

7.
8.
Deep generative modeling / Jakub M. Tomczak by
Material type: Text Text; Literary form: Not fiction
Publication details: Switzerland Springer Nature 2022
Availability: Items available for loan: BITS Pilani Hyderabad (1)Location, call number: Text & Reference Section (Student cannot borrow these books) 006.31 TOM-J.

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