[D] Heroes of Deep Learning: Andrew Ng interviews Yann LeCun

April 8, 2018, 8:15 pm

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[D] What is the best way of learning Machine Learning on my own?

April 8, 2018, 2:12 pm

≫ Next: [P]Help implementation Text Clustering

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For the past month, I have been trying to learn the basics of machine Learning, but I feel like I’m not improving a lot. I don’t want only to learn the basics, but also to start trying some more challenging tasks. What do you think is the best way/advice to learn it and how?

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[P]Help implementation Text Clustering

April 9, 2018, 2:17 am

≫ Next: "[D]" Need suggestions on creative ways to approach Prostate Cancer detection using deep learning, I have already tried various ways but none of them is good enough.

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I'm working on text clustering and I would like to know if i can use this paper https://link.springer.com/article/10.1007/s10618-012-0249-y in order to do text clustering. Does someone know some exisiting implmentation of this paper?

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"[D]" Need suggestions on creative ways to approach Prostate Cancer detection using deep learning, I have already tried various ways but none of them is good enough.

April 9, 2018, 3:42 am

≫ Next: [D] Metric taking into account webpage position?

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I am doing my master thesis titled 'Prostate Cancer Detection using mpMRI scans'. It is a multi-class classification problem with 5 classed. The dataset consists of 112 data points, there are 4 different image modalities. I have tried various techniques of data augmentation using ImgAug (python library) and used custom CNN as well as state of the art architectures like Inception, Xception and Resnet but nothing seems to yield any reasonable results. I have used Accuracy and Quadratic Cohen's Kappa as evaluation metrics.

Link to Image Augmentation library: https://github.com/aleju/imgaug

Link to the dataset: http://spiechallenges.cloudapp.net/competitions/7#learn_the_details

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[D] Metric taking into account webpage position?

April 9, 2018, 4:19 am

≫ Next: [Discussion] The impact of Azure Machine Learning

≪ Previous: "[D]" Need suggestions on creative ways to approach Prostate Cancer detection using deep learning, I have already tried various ways but none of them is good enough.

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I build a website classifier that uses text data of each page. The data is extracted from websites using the "first broad" method (i.e. start with data for pages that can be visited in 1 redirection from the main page, then the page with 2 redirections, etc.).

Then the bag of words of each page is built and the model is trained. But I would like to have some metric which will make training data for pages with less redirections to have a greater weight (or "significance", I don't actually know how to call it) for classifier training. So I want kind of (1/n) * weight_of_bag_of_words.

What metric should be? How can I apply it? Appreciate any help.

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UPD: Thanks @olBaa for idea with PageRank So if I want to combine bag of words with PageRank for training, what should I consider to use? Pipelines (in terms of python's scikit)?

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[Discussion] The impact of Azure Machine Learning

April 9, 2018, 6:16 am

≫ Next: [N] TextQL, Colorless Green RNNs, ConvAI2, Machine Learning Yearning, Meta-Learning Tutorial, Tinn, World Models,…

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What impact (if any) will Azure Machine Learning have on the ML industry? It seems to me that the biggest impact will be on ML consultancies who would have built algorithms for their clients. Are tools like this the "BI" (a la Tableau) of the future?

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[N] TextQL, Colorless Green RNNs, ConvAI2, Machine Learning Yearning, Meta-Learning Tutorial, Tinn, World Models,…

April 9, 2018, 5:10 am

≫ Next: [P] PyTorch Impl. of Stabilizing Adversarial Nets with Prediction Methods (https://openreview.net/pdf?id=Skj8Kag0Z)

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submitted by /u/omarsar [link] [comments]

[P] PyTorch Impl. of Stabilizing Adversarial Nets with Prediction Methods (https://openreview.net/pdf?id=Skj8Kag0Z)

April 9, 2018, 7:10 am

≫ Next: [N] International Jobs in Machine Learning / Data Science

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[N] International Jobs in Machine Learning / Data Science

April 9, 2018, 2:13 pm

≫ Next: [R] AI Grant Research: Small Object Detection

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[R] AI Grant Research: Small Object Detection

April 9, 2018, 3:42 pm

≫ Next: [N] SenseTime (Hong Kong-based CV startup) is now worth $3bn, the most valuable AI startup in the world.

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[N] SenseTime (Hong Kong-based CV startup) is now worth $3bn, the most valuable AI startup in the world.

April 9, 2018, 10:59 am

≫ Next: [P] AI makes Donald Trump speak Korean

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[P] AI makes Donald Trump speak Korean

April 9, 2018, 2:50 am

≫ Next: [D] Has any one heard back from Microsoft AI Residency?

≪ Previous: [N] SenseTime (Hong Kong-based CV startup) is now worth $3bn, the most valuable AI startup in the world.

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[D] Has any one heard back from Microsoft AI Residency?

April 9, 2018, 11:49 pm

≫ Next: [N] The reference implementation of Tsetlin Machine is out (Cython)

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I've applied there too by Feb 28, 2018, but haven't really heard anything back yet. I tried contacting AIResidency@microsoft.com without any luck. Have anyone of you heard back from them? I've got some university admits to decide as well with deadline approaching.

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[N] The reference implementation of Tsetlin Machine is out (Cython)

April 9, 2018, 10:38 am

≫ Next: [R] [1804.02485] Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations [SheepMind]

≪ Previous: [D] Has any one heard back from Microsoft AI Residency?

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[R] [1804.02485] Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations [SheepMind]

April 9, 2018, 6:45 pm

≫ Next: [R] My first paper on Ordinal Pooling Networks, a novel pooling scheme in CNNs (completed in part time), would appreciate some feedback, Thanks!

≪ Previous: [N] The reference implementation of Tsetlin Machine is out (Cython)

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[R] My first paper on Ordinal Pooling Networks, a novel pooling scheme in CNNs (completed in part time), would appreciate some feedback, Thanks!

April 10, 2018, 12:51 am

≫ Next: [D] OpenAI Charter

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[D] OpenAI Charter

April 9, 2018, 9:03 am

≫ Next: [R] [1804.02477] Programmatically Interpretable Reinforcement Learning

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[R] [1804.02477] Programmatically Interpretable Reinforcement Learning

April 9, 2018, 9:29 pm

≫ Next: [P] Simple and Clean Keras Project Template Architecture

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[P] Simple and Clean Keras Project Template Architecture

April 9, 2018, 4:07 pm

≫ Next: [P] Lessons learned reproducing a deep reinforcement learning paper

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[P] Lessons learned reproducing a deep reinforcement learning paper

April 9, 2018, 5:46 am

≫ Next: [D] Anyone having trouble reading a particular paper? Post it here and we'll help figure out any parts you are stuck on.

≪ Previous: [P] Simple and Clean Keras Project Template Architecture

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