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New
The latest blog posts to take off on Hacker News. 6,337 posts.
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Sam Altman talks with Mark Zuckerberg about how to build the future [video]
Read more on Y Combinator's blog.
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Two Weeks of Colorizebot
About two weeks ago we released ColorizeBot to wander around Reddit. This Reddit bot has started by coloring images on r/OldSchoolCool and a day after, spread all over Reddit. The bot was based on a pre-trained neural network - More information on the netwrok can be found here. After
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Machine Learning Exercises in Python, Part 1
KOITOTO LOGIN menghadirkan akses cepat, aman, dan praktis untuk pengalaman hiburan online modern dengan navigasi responsif, performa stabil, serta kenyamanan maksimal setiap waktu.
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Mapping the World of Music Using Machine Learning: Part 1
In June 2016 Ravi Mody and Tim Schmeier gave a presentation at the NYC Machine Learning meetup to discuss their work on the data science…
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Image Completion with Deep Learning in TensorFlow
Content-aware fill is a powerful tool designers and photographers use to fill in unwanted or missing parts of images. Image completion and inpainting are closely related technologies used to fill in missing or corrupted parts of images. There are many ways to do content-aware fill, image completion, and inpainting. In…
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Fast and Accurate Document Detection for Scanning
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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Image Kernels explained visually
An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. In this context the…
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Understanding gradient descent
Gradient descent is a standard tool for optimizing complex functions iteratively within a computer program. Its goal is: given some arbitrary function, find a minumum. For some small subset of functions - those that are convex - there's just a single minumum which also happens to be global. For most realistic…
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AI is always less impressive than is claimed
プログラミングでは開発言語を用いて、アプリやWebサービス、業務システムなどを動かす仕組みを作ります。 将来プログラマーとして働きたいなら、まずは開発言語の基本から理解し、手を動かしながら学ぶことが近道です。 本サイトでは、初心者がつまずきやすい点を先回りして解消しつつ、焦らず段階的にスキルを積み上げる学習手順、職業訓練校の活用方法、復習や制作のコツまで具体的に整理して紹介します。
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Special projects
Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.
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Gradient Boosting Explained in 3D
Understanding gradient boosting with interactive 3d-demonstrations
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A Beginner's Guide to Understanding Convolutional Neural Networks
Engineering at Forward | UCLA CS '19
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Introducing Google Cloud Natural Language API, Speech API and New Data Center
Following our announcements from GCP NEXT in March, we’re excited to share updates about Cloud Platform expansion and machine learning . Today we’re launching two new Machine Learning APIs into open beta and expanding our footprint in the United States.
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Windows Hello face recognition is vulnerable to the Jedi mind trick
Practical development throughout the evolution of Windows.
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Bayesian Machine Learning Explained
So you know the Bayes rule. How does it relate to machine learning? It can be quite difficult to grasp how the puzzle pieces fit together - we know …
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A Proposal For the Dartmouth Summer Research Project on A.I. (1955)
A PROPOSAL FOR THE DARTMOUTH SUMMER RESEARCH PROJECT ON ARTIFICIAL INTELLIGENCE
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Generating Recommendations at Amazon Scale with Apache Spark and Amazon DSSTNE
In this post, I discuss an alternate solution; namely, running separate CPU and GPU clusters, and driving the end-to-end modeling process from Apache Spark.
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Simple questions to help reduce AI hype
AI is a young field full of amazing potential. This mystery and lack of understanding allows for hype to grow unchecked.
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The Problem with Reality
Discover all the Meta Quest VR entertainment experiences. Enjoy streaming your favorite VR movies, tv shows, and live sport events. With VR, your living room is better than the theater.
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Heavy Metal and Natural Language Processing
Edit: Part 2 of this post can be found here , and part 3 here . Most of the code used in these posts is available here .
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