Cargando…

Applied deep learning: a case-based approach to understanding neural networks

Detalles Bibliográficos
Autor principal:	Michelucci, Umberto
Lenguaje:	eng
Publicado:	Apress 2018
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2647602

Ejemplares similares

Advanced applied deep learning: convolutional neural networks and object detection
por: Michelucci, Umberto
Publicado: (2019)

Neural networks and deep learning
por: Géron, Aurélien
Publicado: (2018)

Learn Keras for deep neural networks: a fast-track approach to modern deep learning with Python
por: Moolayil, Jojo
Publicado: (2018)

Learn Keras for deep neural networks: a fast-track approach to modern deep learning with Python
por: Moolayil, Jojo
Publicado: (2019)

Neural networks and deep learning: a textbook
por: Aggarwal, Charu C
Publicado: (2018)

Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks
por: Iba, Hitoshi
Publicado: (2018)

Matlab deep learning: with machine learning, neural networks and artificial intelligence
por: Kim, Phil
Publicado: (2017)

Deep learning essentials: your hands-on guide to the fundamentals of deep learning and neural network modeling
por: Di, Wei, et al.
Publicado: (2018)

Deep learning with PyTorch: a practical approach to building neural network models using PyTorch
por: Subramanian, Vishnu
Publicado: (2018)

Hands-on neural networks with Keras: design and create neural networks using deep learning and artificial intelligence principles
por: Purkait, Niloy
Publicado: (2019)

Deep learning for natural language processing: creating neural networks with Python
por: Goyal, Palash, et al.
Publicado: (2018)

Keras deep learning cookbook: over 30 recipes for implementing deep neural networks in Python
por: Dua, Rajdeep, et al.
Publicado: (2018)

Python deep learning projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
por: Lamons, Matthew, et al.
Publicado: (2018)

Python deep learning: exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
por: Vasilev, Ivan
Publicado: (2019)

Deep learning for the life sciences: applying deep learning to genomics, microscopy, drug discovery, and more
por: Ramsundar, Bharath, et al.
Publicado: (2019)

Network intrusion detection using deep learning: a feature learning approach
por: Kim, Kwangjo, et al.
Publicado: (2018)

Embedded deep learning: algorithms, architectures and circuits for always-on neural network processing
por: Moons, Bert, et al.
Publicado: (2019)

Deep learning with Keras: implement neural networks with Keras on Theano and TensorFlow
por: Gulli, Antonio
Publicado: (2017)

Deep learning by example: a hands-on guide to implementing advanced machine learning algorithms and neural networks
por: Menshawy, Ahmed
Publicado: (2018)

Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
por: Atienza, Rowel
Publicado: (2018)

Hands-on deep learning for games: leverage the power of neural networks and reinforcement learning to build intelligent games
por: Lanham, Micheal
Publicado: (2019)

Deep learning quick reference: useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
por: Bernico, Michael
Publicado: (2018)

Efficient processing of deep neural networks
por: Sze, Vivienne, et al.
Publicado: (2020)

Practical convolutional neural networks: implement advanced deep learning models using Python
por: Sewak, Mohit, et al.
Publicado: (2018)

Deep learning with TensorFlow: explore neural networks and build intelligent systems with Python
por: Zaccone, Giancarlo, et al.
Publicado: (2018)

Deep neural networks in a mathematical framework
por: Caterini, Anthony L, et al.
Publicado: (2018)

Deep learning with PyTorch quick start guide: learn to train and deploy neural network models in Python
por: Julian, David
Publicado: (2018)

Deep learning for natural language processing: solve your natural language processing problems with smart deep neural networks
por: Reddy Bokka, Karthiek, et al.
Publicado: (2019)

R deep learning projects: master the techniques to design and develop neural network models in R
por: Liu, Yuxi, et al.
Publicado: (2018)

Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications
por: Karim, Rezaul, et al.
Publicado: (2019)

Hands-on transfer learning with Python: implement advanced deep learning and neural network models using TensorFlow and Keras
por: Sarkar, Dipanjan, et al.
Publicado: (2018)

Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
por: Liu, Yuxi (Hayden), et al.
Publicado: (2019)

Java deep learning cookbook: train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
por: Raj, Rahul
Publicado: (2019)

Python deep learning cookbook: over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
por: Bakker, Indra den
Publicado: (2017)

Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
por: Lapan, Maxim
Publicado: (2018)

Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
por: Samarasinghe, Sandhya
Publicado: (2006)

Deep learning with Microsoft Cognitive Toolkit quick start guide: a practical guide to building neural networks using Microsoft's open source deep learning framework
por: Meints, Willem
Publicado: (2019)

Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles
por: Ciaburro, Giuseppe, et al.
Publicado: (2017)

Deep learning: a practitioner's approach
por: Patterson, Josh, et al.
Publicado: (2017)

Hands-on deep learning with Go: a practical guide to building and implementing neural network models using Go
por: Seneque, Gareth, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_prq6kgplr2gg220aepd5tkk4h9