"Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks"

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Book	Author(s)	Year	Publisher
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks	Umberto Michelucci	1st ed.	Apress
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks	Daniel A. Roberts; Sho Yaida; Boris Hanin	2022-05	Cambridge University Press
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
Neural Networks and Deep Learning: A Textbook	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python	Jojo Moolayil	1st ed.	Apress
Evolutionary Approach to Machine Learning and Deep Neural Networks: Neuro-Evolution and Gene Regulatory Networks	Hitoshi Iba	1st ed. 2018	Springer Nature Singapore
Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python	Orhan Gazi Yalçın	1st ed.	Apress
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
Deep Brain Stimulation: A Case-based Approach	Shilpa Chitnis; Pravin Khemani; Michael S. Okun	2020	Oxford University Press
Introduction to Deep Learning and Neural Networks with Python™	Ahmed Gad and Fatima Ezzahra Jarmouni	2021	Academic Press
Deep Learning with TensorFlow: Explore Neural Networks with Python	Giancarlo Zaccone; Md. Rezaul Karim; Ahmed Menshawy	2017	Packt Publishing
Neural networks applied to signal processing	Mark D. Baehre	1989	Naval Postgraduate School;Available from the National Technical Information Service
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence	Phil Kim	1st ed.	Apress
Automated Software Engineering: A Deep Learning-Based Approach	Suresh Chandra Satapathy; Ajay Kumar Jena; Jagannath Singh; Saurabh Bilgaiyan	1st ed. 2020	Springer International Publishing
Practical MATLAB Deep Learning: A Project-Based Approach	Michael Paluszek; Stephanie Thomas	1st ed.	Apress
Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks	Marius Leordeanu	1st ed. 2020	Springer International Publishing
Learning Teleneurology Basics: A Case-Based Approach	Swathi Beladakere Ramaswamy; Sachin M. Bhagavan; Raghav Govindarajan	1st ed. 2021	Springer International Publishing
Deep Neural Networks in a Mathematical Framework	Anthony L. Caterini; Dong Eui Chang	1st ed. 2018	Springer International Publishing
Math for Deep Learning: What You Need to Know to Understand Neural Networks	Ronald T. Kneusel	2021	No Starch Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Understanding Deep Learning: Case Study Based Approach	Manisha Galphade; Nilkamal More; V. B. Nikam; Biplab Banerjee; Arvind W. Kiwelekar	Deep Learning and Edge Computing Solutions for High Performance Computing	A. Suresh; Sara Paiva	1st ed. 2021	Springer International Publishing
Understanding Deep Neural Networks		Efficient Processing of Deep Neural Networks	Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer	2020	Morgan and Company
Deep Learning Neural Networks	Mark Chang	Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare	Mark Chang	2020	Routledge
- Neural Networks & Deep Learning		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Aurélien Géron	2017	O'Reilly Media
Neural Networks & Deep Learning		30-Second Data Science: The 50 Key Principles and Innovations in the Field of Data-Gathering, Each Explained in Half a Minute	Liberty Vittert	2020	Ivy Press
Deep Learning, Neural Networks	Ivo D. Dinov	Data Science and Predictive Analytics: Biomedical and Health Applications using R	Ivo D. Dinov	1st ed. 2018	Springer International Publishing
From neural networks to deep learning		Mastering Azure Machine Learning: Execute Large-Scale End-to-end Machine Learning with Azure	Christoph Korner; Marcel Alsdorf	2022	Packt Publishing, Limited
Neural Networks and Deep Learning	Richard E. Neapolitan; Xia Jiang	Artificial Intelligence: With an Introduction to Machine Learning	Richard E. Neapolitan; Xia Jiang	2018	Routledge
Neural Networks and Deep Learning	Zeynep Burcu Kizilkan; Mahmut Sami Sivri; Ibrahim Yazici; Omer Faruk Beyca	Business Analytics for Professionals	Alp Ustundag; Emre Cevikcan; Omer Faruk Beyca	1st ed. 2022	Springer International Publishing
Neural Networks and Deep Learning	Uday Shankar Shanthamallu; Andreas Spanias	Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu; Andreas Spanias		Springer International Publishing
Neural networks and Deep Learning	Hoss Belyadi; Alireza Haghighat	Machine Learning Guide for Oil and Gas Using Python	Alireza Haghighat andHoss Belyadi	2021	Gulf Professional Publishing
Neural Networks and Deep Learning	Sergios Theodoridis	Machine Learning (Second Edition)	Sergios Theodoridis	2020	Academic Press
Neural networks and deep learning	Xin-She Yang	Introduction to Algorithms for Data Mining and Machine Learning	Xin-She Yang	2019	Academic Press
Neural Networks and Deep Learning	Sergios Theodoridis	Machine Learning	Sergios Theodoridis	2015	Academic Press
Neural networks and deep learning	A. Pastor López-Monroy; Jesús S. García-Salinas	Biosignal Processing and Classification Using Computational Learning and Intelligence	Alejandro Torres-García; Carlos Reyes Garcia; Luis Villasenor-Pineda and Omar Mendoza-Montoya	2022	Academic Press
Neural Networks and Deep Learning		Digital Image Processing	Rafael C. Gonzalez, Richard E. Wods	2017	Pearson
Deep learning and neural networks		Data strategy: how to profit from a world of big data, analytics and artificial intelligence	Bernard Marr	2022	Kogan Page
Neural Networks and Deep Learning		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Neural Networks and Deep Learning		Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu, Andreas Spanias	2021	Morgan & Claypool
Neural networks and deep learning		Financial Technology: Case Studies in Fintech Innovation	Niels Pedersen	2020	Kogan Page
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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