fchollet

10 ms·

61.
Deep Learning with Keras: EuroScipy 2016 Tutorial(github.com)
61 points by fchollet 10y ago|1 comments
62.
ImageNet classification with Python and Keras(pyimagesearch.com)
2 points by fchollet 10y ago|0 comments
63.
by fchollet 10y ago
Yes, you can use these models for fine-tuning (or feature extraction) on a new dataset. This tutorial would be a good place to start (esp. sections 2 and 3): https://blog.keras.io/building-powerful-image-classification...
64.
by fchollet 10y ago
The code is under the MIT license, not the weights. The weights are under their respective licenses. The weights are not included in the git tree and are thus not covered by the LICENSE file. They are automatically downloaded when you run t
65.
Show HN: Set of trained deep learning models for computer vision(github.com)
127 points by fchollet 10y ago|15 comments
66.
Text classification with deep learning and word embeddings(blog.keras.io)
3 points by fchollet 10y ago|0 comments
67.
Text classification with word embeddings and deep learning(blog.keras.io)
1 points by fchollet 10y ago|0 comments
68.
On the importance of democratizing Artificial Intelligence(blog.keras.io)
1 points by fchollet 10y ago|0 comments
69.
Using Deep Reinforcement Learning to Play Flappy Bird(yanpanlau.github.io)
17 points by fchollet 10y ago|2 comments
70.
Using Keras and Deep Learning to Play FlappyBird(yanpanlau.github.io)
3 points by fchollet 10y ago|0 comments
71.
Using Keras and Deep Reinforcement Learning to Play Flappy Bird(yanpanlau.github.io)
4 points by fchollet 10y ago|0 comments
72.
On the importance of democratizing Artificial Intelligence(blog.keras.io)
1 points by fchollet 10y ago|0 comments
73.
On the importance of democratizing Artificial Intelligence(blog.keras.io)
2 points by fchollet 10y ago|0 comments
74.
On the importance of democratizing Artificial Intelligence(blog.keras.io)
3 points by fchollet 10y ago|0 comments
75.
by fchollet 10y ago
Information leaks are indeed the number one challenge when evaluating this type of approach. Our evaluation procedure does not rigorously guarantee against information leaks, but it does allow for an apples-to-apples comparison with previou
76.
by fchollet 10y ago
- the most interesting thing about this approach is that it managed to prove a significantly different set of theorems than previous state-of-the-art approaches. So theorems that are hard to prove for this approach were not all hard to prov
77.
by fchollet 10y ago
One of the authors here; didn't expect to see this pop up on HN. Questions welcome!
78.
by fchollet 10y ago
Yes. Specifically, rents are much higher in SF/SV than in NYC. SF has even higher rent than Manhattan. Most of NYC (not Manhattan or Williamsburg) can be quite reasonable.
79.
by fchollet 10y ago
Paris is much less expensive than the bay area, but more expensive than the average US city. In fact, it's barely less expensive than NYC, one of the most expensive US cities. Also, if you are working remotely you cannot command a bay
80.
Deep Reinforcement Learning Using Keras and OpenAI Gym(github.com)
94 points by fchollet 10y ago|2 comments
81.
by fchollet 10y ago
> the quirky and random XD reaction GIFs and image macros that populate modern thought pieces I'm just glad that we don't read the same "thought pieces"
82.
Building powerful image classification models using very little data(blog.keras.io)
71 points by fchollet 10y ago|6 comments
83.
by fchollet 10y ago
In fact, "Brainstorm" is one of the least used packages among all deep learning libraries. For reference, here is the number of new Github issue tickets created over the past 15 days (2016-05-15 to 2016-05-30): #1: 131 tensorfl
84.
by fchollet 10y ago
Stable year-on-year growth for 15 years is not the sign of a bubble, it's just what you see with a growing industry.
85.
by fchollet 10y ago
> I started calling online advertising a bubble in 2008. Then maybe it's time to quit punditry; that was 8 years ago and the online advertising market has grown 2.5x since. > I made “The Advertising Bubble” a chapter in The Inten
86.
by fchollet 10y ago
Two repos to get started building reinforcement learning agents with Gym and Keras: https://github.com/sherjilozair/dqn https://github.com/osh/kerlym
87.
Building autoencoders in Keras(blog.keras.io)
77 points by fchollet 10y ago|11 comments
88.
by fchollet 10y ago
They place an emphasis on Github star count, but that is a terrible usage metric. Leaf got a lot of stars because it got a lot of HN exposure, but at the same time Leaf had no users. Assumedly that's the real reason why they are stop
89.
by fchollet 10y ago
I think (or hope) that you forgot the "/s" at the end.
90.
Deep Language Modeling for Question Answering Using Keras(benjaminbolte.com)
106 points by fchollet 10y ago|6 comments

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