Deep learning for computer vision : expert techniques to train advanced neural networks using TensorFlow and Keras /
Saved in:
| Main Author: | Shanmugamani, Rajalingappaa (Author) |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, England :
Paths International Ltd,
2018.
|
| Subjects: | |
| Online Access: | Click to View |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hands-on deep learning for images with TensorFlow : build intelligent computer vision applications using TensorFlow and Keras /
by: Ballard, Will
Published: (2018)
by: Ballard, Will
Published: (2018)
TensorFlow Deep Learning Projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning /
by: Massaron, Luca
Published: (2018)
by: Massaron, Luca
Published: (2018)
Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
by: Dutta, Sayon
Published: (2018)
by: Dutta, Sayon
Published: (2018)
Compendium of Neurosymbolic Artificial Intelligence /
Published: (2023)
Published: (2023)
Hands-on computer vision with Julia : build complex applications with advanced Julia packages for image processing, neural networks, and artificial intelligence /
by: Cudihins, Dmitrijs
Published: (2018)
by: Cudihins, Dmitrijs
Published: (2018)
Artificial intelligence, machine learning, and deep learning /
by: Campesato, Oswald
Published: (2020)
by: Campesato, Oswald
Published: (2020)
Computational intelligence and its applications evolutionary computation, fuzzy logic, neural network and support vector machine techniques /
Published: (2012)
Published: (2012)
Deep learning with TensorFlow : explore neural networks and build intelligent systems with Python /
by: Zaccone, Giancarlo, et al.
Published: (2018)
by: Zaccone, Giancarlo, et al.
Published: (2018)
Space Object Identification using Deep Neural Networks
by: McQuaid, Ian, et al.
Published: (2018)
by: McQuaid, Ian, et al.
Published: (2018)
MULTI-LABEL CLASSIFICATION OF UNDERWATER SOUNDSCAPES USING DEEP CONVOLUTIONAL NEURAL NETWORKS
by: Pfau, Andrew M.
Published: (2021)
by: Pfau, Andrew M.
Published: (2021)
TARGET POSE ESTIMATION USING DEEP LEARNING
by: Nwokogba, Monye A.
Published: (2023)
by: Nwokogba, Monye A.
Published: (2023)
USING CONVOLUTION NEURAL NETWORKS TO DEVELOP ROBUST COMBAT BEHAVIORS THROUGH REINFORCEMENT LEARNING
by: Cannon, Christopher T., et al.
Published: (2021)
by: Cannon, Christopher T., et al.
Published: (2021)
Focus on artificial neural networks
Published: (2011)
Published: (2011)
Augmenting intelligence and neural networks.
Published: (2020)
Published: (2020)
Augmenting intelligence and neural Networks.
Published: (2020)
Published: (2020)
Artificial intelligence by example : acquire advanced AI, machine learning, and deep learning design skills /
by: Rothman, Denis
Published: (2020)
by: Rothman, Denis
Published: (2020)
Hands-on deep learning with TensorFlow : uncover what is underneath your data! /
by: Boxel, Dan Van
Published: (2017)
by: Boxel, Dan Van
Published: (2017)
Advanced Machine Learning Approaches in Human-Machine Interaction for Rehabilitation Exoskeleton
by: Albrethen, Abdullah Khalid, et al.
Published: (2026)
by: Albrethen, Abdullah Khalid, et al.
Published: (2026)
Artificial intelligence and quantum computing for advanced wireless networks /
by: Glisic, Savo G., et al.
Published: (2021)
by: Glisic, Savo G., et al.
Published: (2021)
Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /
by: Atienza, Rowel
Published: (2018)
by: Atienza, Rowel
Published: (2018)
High Performance Computing for Intelligent Medical Systems /
Published: (2021)
Published: (2021)
Mobile artificial intelligence projects : develop seven projects on your smartphone using artificial intelligence and deep learning techniques /
by: NG, Karthikeyan, et al.
Published: (2019)
by: NG, Karthikeyan, et al.
Published: (2019)
Smoothing of Convolutional Neural Network Classifications
by: Drumm, Glen R.
Published: (2022)
by: Drumm, Glen R.
Published: (2022)
Deep Learning Applications
Published: (2023)
Published: (2023)
Computational models of argument proceedings of comma 2006 /
Published: (2006)
Published: (2006)
Intelligent computational systems : a multi-disciplinary perspective /
Published: (2017)
Published: (2017)
Artificial intelligence, cybersecurity and cyber defense /
by: Ventre, Daniel
Published: (2020)
by: Ventre, Daniel
Published: (2020)
Computing action a narratological approach /
by: Meister, Jan Christoph, 1955-
Published: (2003)
by: Meister, Jan Christoph, 1955-
Published: (2003)
Visual Object Tracking with Deep Neural Networks
Published: (2021)
Published: (2021)
Statistical mechanics of learning
by: Engel, A. (Andreas), 1957-
Published: (2001)
by: Engel, A. (Andreas), 1957-
Published: (2001)
Analysis of Generalized Artificial Intelligence Potential through Reinforcement and Deep Reinforcement Learning Approaches
by: Turner, Jonathan
Published: (2022)
by: Turner, Jonathan
Published: (2022)
Artificial intelligence and machine learning for business for non-engineers /
Published: (2020)
Published: (2020)
Artificial intelligence and machine learning fundamentals : develop real-world applications powered by the latest AI advances /
by: Nagy, Zsolt
Published: (2018)
by: Nagy, Zsolt
Published: (2018)
AI and machine learning /
by: Rahman, Was, 1965-
Published: (2020)
by: Rahman, Was, 1965-
Published: (2020)
Human-Assisted Intelligent Computing : Modelling, Simulations and Applications /
Published: (2023)
Published: (2023)
Minds and computers an introduction to the philosophy of artificial intelligence /
by: Carter, Matt, 1975-
Published: (2007)
by: Carter, Matt, 1975-
Published: (2007)
Parsing the turing test philosophical and methodological issues in the quest for the thinking computer /
Published: (2008)
Published: (2008)
Autonomous Construction of Multi Layer Perceptron Neural Networks
by: Rathbun, Thomas F.
Published: (1997)
by: Rathbun, Thomas F.
Published: (1997)
Theory and Applications of Fuzzy Systems and Neural Networks
Published: (2026)
Published: (2026)
The smart cyber ecosystem for sustainable development /
Published: (2021)
Published: (2021)
Similar Items
-
Hands-on deep learning for images with TensorFlow : build intelligent computer vision applications using TensorFlow and Keras /
by: Ballard, Will
Published: (2018) -
TensorFlow Deep Learning Projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning /
by: Massaron, Luca
Published: (2018) -
Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
by: Dutta, Sayon
Published: (2018) -
Compendium of Neurosymbolic Artificial Intelligence /
Published: (2023) -
Hands-on computer vision with Julia : build complex applications with advanced Julia packages for image processing, neural networks, and artificial intelligence /
by: Cudihins, Dmitrijs
Published: (2018)
