A news recommendation engine driven by collaborative reader behavior
https://blog.insightdatascience.com/news4u-recommend-stories-based-on-collaborative-reader-behavior-9b049b6724c4
https://blog.insightdatascience.com/news4u-recommend-stories-based-on-collaborative-reader-behavior-9b049b6724c4
Medium
A news recommendation engine driven by collaborative reader behavior
Yuan Huang is an Insight alum from the Summer 2017 session of Insight Data Science in New York. Yuan is completing a PhD in Computational…
Introduction to TensorFlow Lattice
https://www.youtube.com/watch?v=kaPheQxIsPY
https://www.youtube.com/watch?v=kaPheQxIsPY
YouTube
Introduction to TensorFlow Lattice
Check out Gitbub Repo for instructions and examples: https://goo.gl/LbVVPh
Also take a look at the Deep Lattice Networks publication for mathematical details: https://goo.gl/REE6cb
Maya Gupta, Seungil You and Jan Pfeifer introduce TensorFlow Lattice. TensorFlow…
Also take a look at the Deep Lattice Networks publication for mathematical details: https://goo.gl/REE6cb
Maya Gupta, Seungil You and Jan Pfeifer introduce TensorFlow Lattice. TensorFlow…
Classifying league of legends champions
https://github.com/vonum/lol-category
https://github.com/vonum/lol-category
GitHub
vonum/lol-category
Contribute to lol-category development by creating an account on GitHub.
Latest Deep Learning OCR with Keras and Supervisely in 15 minutes
https://hackernoon.com/latest-deep-learning-ocr-with-keras-and-supervisely-in-15-minutes-34aecd630ed8
https://hackernoon.com/latest-deep-learning-ocr-with-keras-and-supervisely-in-15-minutes-34aecd630ed8
Hackernoon
🔥 Latest Deep Learning OCR with Keras and Supervisely in 15 minutes
Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use <a href="https://keras.io/" target="_blank">Keras</a> and <a href="https://supervise.ly/"…
Collection of popular convnets with pre-trained weights in TensorFlow
https://github.com/taehoonlee/tensornets
https://github.com/taehoonlee/tensornets
GitHub
GitHub - taehoonlee/tensornets: High level network definitions with pre-trained weights in TensorFlow
High level network definitions with pre-trained weights in TensorFlow - taehoonlee/tensornets
Probabilistic Graphical Models: basic terminology and the problem setting
https://blog.statsbot.co/probabilistic-graphical-models-tutorial-and-solutions-e4f1d72af189
https://blog.statsbot.co/probabilistic-graphical-models-tutorial-and-solutions-e4f1d72af189
How to Automatically Generate Textual Denoscriptions for Photographs with Deep Learning
https://machinelearningmastery.com/how-to-caption-photos-with-deep-learning/
https://machinelearningmastery.com/how-to-caption-photos-with-deep-learning/
Understanding Hinton’s Capsule Networks. Part I: Intuition.
https://medium.com/@pechyonkin/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b
https://medium.com/@pechyonkin/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b
Medium
Understanding Hinton’s Capsule Networks. Part I: Intuition.
Update: Part II is available here.
SLING: A Natural Language Frame Semantic Parser
https://research.googleblog.com/2017/11/sling-natural-language-frame-semantic.html
https://research.googleblog.com/2017/11/sling-natural-language-frame-semantic.html
Google AI Blog
SLING: A Natural Language Frame Semantic Parser
Posted by Michael Ringgaard, Software Engineer and Rahul Gupta, Research Scientist Until recently, most practical natural language understan...
Distributed Deep Learning with Keras on Apache Spark
https://www.qubole.com/blog/distributed-deep-learning-keras-apache-spark/
https://www.qubole.com/blog/distributed-deep-learning-keras-apache-spark/
Qubole
Distributed Deep Learning on Apache Spark with Keras | Qubole
Distributed deep learning allows for internet scale dataset sizes, as exemplified by many huge enterprises. This blog post demonstrates how an organization of any size can leverage distributed deep learning on Spark thanks to the Qubole Data Service (QDS).
Popular types of neural networks and their applications in real life
https://blog.statsbot.co/neural-networks-for-beginners-d99f2235efca
https://blog.statsbot.co/neural-networks-for-beginners-d99f2235efca
Medium
Neural Networks for Beginners: Popular Types and Applications
An introduction to neural networks learning
Implementing MaLSTM on Kaggle’s Quora Question Pairs competition
https://medium.com/mlreview/implementing-malstm-on-kaggles-quora-question-pairs-competition-8b31b0b16a07
https://medium.com/mlreview/implementing-malstm-on-kaggles-quora-question-pairs-competition-8b31b0b16a07
Medium
How to predict Quora Question Pairs using Siamese Manhattan LSTM
The article is about Manhattan LSTM (MaLSTM) — a Siamese deep network and its appliance to Kaggle’s Quora Pairs competition. I will do my…
Building an object detection toolkit with TensorFlow (video)
https://youtu.be/CAYn6A1zsrw
https://youtu.be/CAYn6A1zsrw
YouTube
Alan Descoins & Javier Rey
Способы экстраполяции картинок
https://graphicdesign.stackexchange.com/questions/26385/difference-between-none-linear-cubic-and-sinclanczos3-interpolation-in-image
https://graphicdesign.stackexchange.com/questions/26385/difference-between-none-linear-cubic-and-sinclanczos3-interpolation-in-image
Graphic Design Stack Exchange
Difference between None, Linear, Cubic and Sinc(Lanczos3) interpolation in image scaling?
While scaling images in GIMP in the Quality section I was prompted to choose one of the following interpolations:
None
Linear
Cubic
Sinc(Lanczos3)
What is the difference between these and which o...
None
Linear
Cubic
Sinc(Lanczos3)
What is the difference between these and which o...
A Gentle Introduction to Text Summarization
https://machinelearningmastery.com/gentle-introduction-text-summarization/
https://machinelearningmastery.com/gentle-introduction-text-summarization/
MachineLearningMastery.com
A Gentle Introduction to Text Summarization - MachineLearningMastery.com
Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover…
Realtime object detection by Google.
https://research.googleblog.com/2017/11/automl-for-large-scale-image.html
https://research.googleblog.com/2017/11/automl-for-large-scale-image.html
Google AI Blog
AutoML for large scale image classification and object detection
Posted by Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc Le, Research Scientists, Google Brain Team A few months ago, we introduce...
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://tcwang0509.github.io/pix2pixHD/
https://tcwang0509.github.io/pix2pixHD/
tcwang0509.github.io
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs