dennybritz

13 ms·

61.
by dennybritz 11y ago
It's both. Most of the Reinforcement and Deep Learning techniques used in AlphaGo have been around for many years and while there are a couple of novel algorithms many overestimate their impact. It's most a mix & match of tech
62.
by dennybritz 11y ago
Shameless plug, but I am curating a Deep Learning / Artificial Intelligence newsletter: http://www.wildml.com/newsletter/
63.
Deep Learning Glossary(wildml.com)
106 points by dennybritz 11y ago|2 comments
64.
Deep Learning Glossary(wildml.com)
7 points by dennybritz 11y ago|0 comments
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Deep Learning newsletter with hand-curated stories, code and research papers(wildml.com)
1 points by dennybritz 11y ago|0 comments
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by dennybritz 11y ago
Funnily enough, I just received an email promothing this: http://csplusmh.com/
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Anonymous shuts down 297 Thai court websites(bangkok.coconuts.co)
2 points by dennybritz 11y ago|0 comments
68.
by dennybritz 11y ago
Great job, I admire you for sticking with for so long despite the (slower than expected?) growth. You must be really passionate about what you're building, which is what counts most. I'm an avid language learner myself. Here are a
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by dennybritz 11y ago
Anther reason could also be the nature of the post. It's more of a summary, and not controversial topic that would lead to heated discussions.
70.
Attention and Memory in Deep Learning and NLP(wildml.com)
97 points by dennybritz 11y ago|7 comments
71.
Google Patent: System and Method for Parallelizing Convolutional Neural Networks(freepatentsonline.com)
1 points by dennybritz 11y ago|0 comments
72.
by dennybritz 11y ago
I'm not sure if there is an example somewhere in the TF docs, but initializing a variable is pretty easy. All you need to do is: session.run(W.assign(numpy_word2_vec_matrix)). W would the embedding matrix created in first layer of the
73.
by dennybritz 11y ago
Hi! It is not using a BoW model. Each input sentence is a vector of size [sentence_length] (or, in theory, a matrix of size [vocab_size, sentence_length] with one-hot vectors) so the padding is required. There is a way to do it without padd
74.
by dennybritz 11y ago
Thanks! I think VALID and SAME are probably giving the same results. The reason I used VALID is only because the original paper seems to be doing that as well. I will fix the capitalization!
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by dennybritz 11y ago
Classifier for what task? You'd need to be more specific.
76.
Implementing a CNN for Text Classification in Tensorflow(wildml.com)
92 points by dennybritz 11y ago|8 comments
77.
Talking to Machines – The Rise of Conversational Interfaces and NLP(blog.dennybritz.com)
2 points by dennybritz 11y ago|0 comments
78.
Wrangle Conference 2015 Videos(youtube.com)
1 points by dennybritz 11y ago|0 comments
79.
Jeff Dean explains TensorFlow(youtube.com)
2 points by dennybritz 11y ago|0 comments
80.
Understanding Convolutional Neural Networks for NLP(wildml.com)
3 points by dennybritz 11y ago|0 comments
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Understanding Convolutional Neural Networks for NLP(wildml.com)
4 points by dennybritz 11y ago|0 comments
82.
by dennybritz 11y ago
> I don't get any satisfaction out of it because I feel like my slice of the pie is way smaller than what I think I deserve. Have you considered that you may be looking at the issue from the wrong angle? You are unhappy with your wo
83.
Show HN: Neal – react components for startup landing pages(nealjs.com)
9 points by dennybritz 11y ago|2 comments
84.
Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM in Python(wildml.com)
9 points by dennybritz 11y ago|0 comments
85.
Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM in Python(wildml.com)
1 points by dennybritz 11y ago|0 comments
86.
Number of computer-illiterate young people in Japan increasing(sp.mainichi.jp)
6 points by dennybritz 11y ago|0 comments
87.
Spain to Invest €90M in Natural Language Processing Technologies(pangeanic.com)
14 points by dennybritz 11y ago|5 comments
88.
How We Use Deep Learning to Classify Business Photos at Yelp(engineeringblog.yelp.com)
17 points by dennybritz 11y ago|3 comments
89.
How We Use Deep Learning to Classify Business Photos at Yelp(engineeringblog.yelp.com)
1 points by dennybritz 11y ago|0 comments
90.
Deep Learning Startups, Applications and Acquisitions – A Summary(blog.dennybritz.com)
1 points by dennybritz 11y ago|0 comments

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