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François Chollet
François Chollet
Verified email at google.com
Title
Cited by
Cited by
Year
Keras
F Chollet
keras.io 10, 2015
15917*2015
Xception: Deep learning with depthwise separable convolutions
F Chollet
Proceedings of the IEEE conference on computer vision and pattern …, 2017
96842017
Deep Learning with Python
F Chollet
Manning Publications, 2017
4125*2017
Tensor2tensor for neural machine translation
A Vaswani, S Bengio, E Brevdo, F Chollet, AN Gomez, S Gouws, L Jones, ...
arXiv preprint arXiv:1803.07416, 2018
4922018
Depthwise separable convolutions for neural machine translation
L Kaiser, AN Gomez, F Chollet
arXiv preprint arXiv:1706.03059, 2017
2422017
On the Measure of Intelligence
F Chollet
arXiv preprint arXiv:1911.01547, 2019
2222019
DeepMath-deep sequence models for premise selection
AA Alemi, F Chollet, N Eén, G Irving, C Szegedy, J Urban
arXiv preprint arXiv:1606.04442, 2016
197*2016
Keras tuner
T O’Malley, E Bursztein, J Long, F Chollet, H Jin, L Invernizzi
Retrieved May 21, 2020, 2019
1732019
keras: R Interface to ‘Keras’
JJ Allaire, F Chollet
R package version 2 (5.0), 2019
1552019
Building powerful image classification models using very little data
F Chollet
Keras Blog 5, 2016
1412016
Building autoencoders in keras
F Chollet
The Keras Blog 14, 2016
942016
Holstep: A machine learning dataset for higher-order logic theorem proving
C Kaliszyk, F Chollet, C Szegedy
arXiv preprint arXiv:1703.00426, 2017
732017
R interface to keras
F Chollet, J Allaire, D Falbel, Y Tang, W Van Der Bijl, M Studer
Keras Team.[(accessed on 21 April 2020)], 2017
682017
Keras, GitHub repository (2015)
F Chollet
URL https://keras. io/examples/generative/vae, 2020
522020
Deep Learning with R
F Chollet, JJ Allaire
Manning Publications, 2018
26*2018
Information-theoretical label embeddings for large-scale image classification
F Chollet
arXiv preprint arXiv:1607.05691, 2016
202016
Introduction to keras
F Chollet
March 9th, 2018
182018
The limitations of deep learning
F Chollet
Deep learning with Python, 2017
182017
Deep Learning mit R und Keras: Das Praxis-Handbuch von den Entwicklern von Keras und RStudio
F Chollet, JJ Allaire
MITP-Verlags GmbH & Co. KG, 2018
152018
Deep Learning with JavaScript: Neural networks in TensorFlow. js
S Cai, S Bileschi, ED Nielsen, F Chollet
Manning, 2020
142020
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