| Keras F Chollet keras.io 10, 2015 | 15460* | 2015 |
| Xception: Deep learning with depthwise separable convolutions F Chollet Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 9164 | 2017 |
| Deep Learning with Python F Chollet Manning Publications, 2017 | 3909* | 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 | 485 | 2018 |
| Depthwise separable convolutions for neural machine translation L Kaiser, AN Gomez, F Chollet arXiv preprint arXiv:1706.03059, 2017 | 230 | 2017 |
| On the Measure of Intelligence F Chollet arXiv preprint arXiv:1911.01547, 2019 | 206 | 2019 |
| 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 | 194* | 2016 |
| keras: R Interface to ‘Keras’ JJ Allaire, F Chollet R package version 2 (5.0), 2019 | 152 | 2019 |
| Keras tuner T O’Malley, E Bursztein, J Long, F Chollet, H Jin, L Invernizzi Retrieved May 21, 2020, 2019 | 146 | 2019 |
| Building powerful image classification models using very little data F Chollet Keras Blog 5, 2016 | 137 | 2016 |
| Building autoencoders in keras F Chollet The Keras Blog 14, 2016 | 92 | 2016 |
| Holstep: A machine learning dataset for higher-order logic theorem proving C Kaliszyk, F Chollet, C Szegedy arXiv preprint arXiv:1703.00426, 2017 | 73 | 2017 |
| 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 | 65 | 2017 |
| Keras, GitHub repository (2015) F Chollet URL https://keras. io/examples/generative/vae, 2020 | 51 | 2020 |
| Deep Learning with R F Chollet, JJ Allaire Manning Publications, 2018 | 24* | 2018 |
| Information-theoretical label embeddings for large-scale image classification F Chollet arXiv preprint arXiv:1607.05691, 2016 | 20 | 2016 |
| Introduction to keras F Chollet March 9th, 2018 | 18 | 2018 |
| The limitations of deep learning F Chollet Deep learning with Python, 2017 | 16 | 2017 |
| 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 | 15 | 2018 |
| Deep Learning with JavaScript: Neural networks in TensorFlow. js S Cai, S Bileschi, ED Nielsen, F Chollet Manning, 2020 | 11 | 2020 |
Łukasz KaiserOpenAI & CNRSVerified email at openai.com
