Cargando…

Deep learning for the life sciences: applying deep learning to genomics, microscopy, drug discovery, and more

Detalles Bibliográficos
Autores principales:	Ramsundar, Bharath, Eastman, Peter, Walters, Patrick, Pande, Vijay
Lenguaje:	eng
Publicado:	O'Reilly Media 2019
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2673860

Ejemplares similares

TensorFlow for deep learning: from linear regression to reinforcement learning
por: Ramsundar, Bharath, et al.
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)

Pytorch deep learning hands-on: apply modern AI techniques with CNNS, RNNS, GANs, reinforcement learning, and more
por: Thomas, Sherin, et al.
Publicado: (2019)

Low Data Drug Discovery with One-Shot Learning
por: Altae-Tran, Han, et al.
Publicado: (2017)

Solving the RNA design problem with reinforcement learning
por: Eastman, Peter, et al.
Publicado: (2018)

Applied deep learning with Keras: solve complex real-life problems with the simplicity of Keras
por: Bhagwat, Ritesh, et al.
Publicado: (2019)

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)

Java deep learning essentials: dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java
por: Sugomori, Yusuke
Publicado: (2016)

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

Deep learning
por: Goodfellow, Ian, et al.
Publicado: (2016)

Applied deep learning: a case-based approach to understanding neural networks
por: Michelucci, Umberto
Publicado: (2018)

Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
por: Bonaccorso, Giuseppe
Publicado: (2019)

Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
por: Galea, Alex, et al.
Publicado: (2018)

Applied natural language processing with Python: implementing machine learning and deep learning algorithms for natural language processing
por: Beysolow, Taweh
Publicado: (2018)

Deep learning for dummies
por: Mueller, John Paul, et al.
Publicado: (2019)

The deep learning revolution
por: Sejnowski, Terrence J
Publicado: (2018)

Introduction to deep learning
por: Charniak, Eugene
Publicado: (2018)

Deep learning with Python
por: Chollet, Francois
Publicado: (2018)

Deep learning for biometrics
por: Bhanu, Bir, et al.
Publicado: (2017)

Deep learning with R
por: Chollet, François, et al.
Publicado: (2018)

Grokking deep learning
por: Trask, Andrew W
Publicado: (2019)

Deep learning with R
por: Ghatak, Abhijit
Publicado: (2019)

Programming PyTorch for deep learning: creating and deploying deep learning applications
por: Pointer, Ian
Publicado: (2019)

Artificial intelligence, machine learning, and deep learning
por: Campesato, Oswald
Publicado: (2020)

Deep learning: research and applications
por: Bhattacharyya, Siddhartha, et al.
Publicado: (2020)

Getting started with deep learning
por: Patterson, Josh, et al.
Publicado: (2018)

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

Deep learning and the game of Go
por: Pumperla, Max, et al.
Publicado: (2019)

Benchmark of Deep Learning models
por: Terko, Afan
Publicado: (2021)

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

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

Hands-on deep learning with Apache Spark: build and deploy distributed deep learning applications on Apache Spark
por: Iozzia, Guglielmo
Publicado: (2019)

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

Deep learning for numerical applications with SAS
por: Bequet, Henry
Publicado: (2018)

Deep learning in object detection and recognition
por: Jiang, Xiaoyue, et al.
Publicado: (2019)

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

Deep learning in natural language processing
por: Deng, Li, et al.
Publicado: (2018)

Deep learning approaches to text production
por: Narayan, Shashi, et al.
Publicado: (2020)

Deep reinforcement learning for wireless networks
por: Yu, F Richard, et al.
Publicado: (2019)

Deep learning for physical scientists: accelerating research with machine learning
por: Pyzer-Knapp, Edward O
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_q03li35q9oj43h9d5jkk1921je