François Chollet’s Followers (131)

François Chollet

Born

France

Genre

Science, Nonfiction, Technology

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François Chollet is a French engineer and researcher in artificial intelligence.

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François Chollet’s books

Average rating: 4.56 · 1,531 ratings · 171 reviews · 22 distinct works • Similar authors

	Deep Learning with Python 4.57 avg rating — 1,390 ratings — published 2017 — 26 editions	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Deep Learning with R by François Chollet, J.J. Allaire 4.45 avg rating — 87 ratings — published 2018 — 6 editions	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	On the Measure of Intelligence 4.62 avg rating — 13 ratings	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Deep Learning with Python, Third Edition by François Chollet, Matthew Watson it was amazing 5.00 avg rating — 11 ratings — 3 editions	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Deep Learning with Keras 4.43 avg rating — 7 ratings	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Learning Programming High Level With Python 4.50 avg rating — 2 ratings	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Deep Learning with R, Second Edition by François Chollet, Tomasz Kalinowski, J. J. Allaire really liked it 4.00 avg rating — 1 rating — 2 editions	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Deep Learning Praca z jezykiem R i biblioteka Keras really liked it 4.00 avg rating — 1 rating	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	L'apprentissage profond avec Python 0.00 avg rating — 0 ratings — 2 editions	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Un garçon si tranquille 0.00 avg rating — 0 ratings — 2 editions	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars

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Quotes by François Chollet (?)

“Some readers are bound to want to take the techniques we’ve introduced here and try them on the problem of forecasting the future price of securities on the stock market (or currency exchange rates, and so on). Markets have very different statistical characteristics than natural phenomena such as weather patterns. Trying to use machine learning to beat markets, when you only have access to publicly available data, is a difficult endeavor, and you’re likely to waste your time and resources with nothing to show for it.

Always remember that when it comes to markets, past performance is not a good predictor of future returns—looking in the rear-view mirror is a bad way to drive. Machine learning, on the other hand, is applicable to datasets where the past is a good predictor of the future.”
― Francois Chollet, Deep Learning with Python

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“Uncrumpling paper balls is what machine learning is about: finding neat representations for complex, highly folded data manifolds.”
― François Chollet, Deep Learning with Python

tags: deep-learning

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“In practice, experienced machine-learning engineers and researchers build intuition over time as to what works and what doesn’t when it comes to these choices—they develop hyperparameter-tuning skills. But there are no formal rules. If you want to get to the very limit of what can be achieved on a given task, you can’t be content with arbitrary choices made by a fallible human. Your initial decisions are almost always suboptimal, even if you have good intuition. You can refine your choices by tweaking them by hand and retraining the model repeatedly—that’s what machine-learning engineers and researchers spend most of their time doing. But it shouldn’t be your job as a human to fiddle with hyperparameters all day—that is better left to a machine.”
― Francois Chollet

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