Cargando…

Tutorial: Keras/TensorFlow

Mostrar otras versiones (1)

Detalles Bibliográficos
Autor principal:	Wunsch, Stefan
Lenguaje:	eng
Publicado:	2018
Materias:	Machine Learning
Acceso en línea:	http://cds.cern.ch/record/2312419

Ejemplares similares

Tutorial 3: Keras and TMVA interfaces
por: Wunsch, Stefan
Publicado: (2017)

The Applied TensorFlow and Keras Workshop
por: Chadha, Harveen
Publicado: (2020)

Deep Learning with TensorFlow 2 and Keras
por: Gulli, Antonio, et al.
Publicado: (2019)

Tutorial: TMVA
por: Moneta, Lorenzo
Publicado: (2018)

Tutorial 1: TMVA
por: Gleyzer, Sergei, et al.
Publicado: (2017)

Tutorial 4: R
por: Lowe, Andrew
Publicado: (2017)

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

Advanced Deep Learning with TensorFlow 2 and Keras
por: Atienza, Rowel
Publicado: (2020)

Tutorial 2: Scikit-learn
por: Louppe, Gilles
Publicado: (2017)

Keras/TensorFlow in Drug Design for Immunity Disorders
por: Dragan, Paulina, et al.
Publicado: (2023)

Beginning application development with TensorFlow and Keras: learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
por: Capelo, Luis
Publicado: (2018)

Hands-on deep learning for images with TensorFlow: build intelligent computer vision applications using TensorFlow and Keras
por: Ballard, Will
Publicado: (2018)

Reinforcement learning: with Open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2018)

Reinforcement learning: with open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2017)

Identifying the relevant dependencies of the neural network response on characteristics of the input space
por: Wunsch, Stefan
Publicado: (2018)

Mastering TensorFlow 1.x: advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
por: Fandango, Armando
Publicado: (2018)

Applied reinforcement learning with Python: with OpenAI Gym, TensorFlow, and Keras
por: Beysolow, Taweh
Publicado: (2019)

Hands-on computer vision with TensorFlow 2: leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
por: Planche, Benjamin, et al.
Publicado: (2019)

Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras
por: Silaparasetty, Vinita
Publicado: (2020)

HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow
por: Awan, Ammar Ahmad, et al.
Publicado: (2020)

Deep learning with applications using Python: chatbots and face, object, and speech recognition with TensorFlow and Keras
por: Manaswi, Navin Kumar, et al.
Publicado: (2018)

Hands-on Q-learning with Python: practical Q-learning with OpenAI Gym, Keras, and TensorFlow
por: Habib, Nazia
Publicado: (2019)

Generative adversarial networks projects: build next-generation generative models using TensorFlow and Keras
por: Ahirwar, Kailash
Publicado: (2019)

TensorFlow: powerful predictive analytics with TensorFlow : predict valuable insights of your data with TensorFlow
por: Karim, Md Rezaul
Publicado: (2018)

Deep learning for computer vision: expert techniques to train advanced neural networks using TensorFlow and Keras
por: Shanmugamani, Rajalingappaa
Publicado: (2018)

Practical computer vision: extract insightful information from images using TensorFlow, Keras, and OpenCV
por: Dadhich, Abhinav
Publicado: (2018)

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

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems
por: Géron, Aurélien
Publicado: (2019)

TensorFlow for dummies
por: Scarpino, Matthew
Publicado: (2018)

Generative adversarial networks cookbook: over 100 recipes to build generative models using Python, TensorFlow, and Keras
por: Kalin, Josh
Publicado: (2018)

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)

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

Robust regression and model compression
por: Ivanov, Marian
Publicado: (2018)

Recent developments in deep-learning applied to open HEP data
por: Strong, Giles Chatham
Publicado: (2018)

ML as a Service for HEP
por: Kuznetsov, Valentin Y
Publicado: (2018)

CWoLa hunting
por: Collins, Jack, et al.
Publicado: (2018)

Guiding New Physics Searches with Unsupervised Learning
por: De Simone, Andrea
Publicado: (2018)

Machine learning as an instrument for data unfolding
por: Glazov, Alexander
Publicado: (2018)

Learning New Physics from a machine
por: Wulzer, Andrea
Publicado: (2018)

Convolutional Neural Network for Track Seed Filtering at the CMS HLT
por: Di Florio, Adriano
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_n6462rhcbt06ed2hkt43v93t31