Practical Deep Learning For Coders—18 hours of lessons for free

Welcome to a 7 week course, Practical Deep Learning For Coders, Part 1,

  • The course exceeded my expectations and showed me first hand how both Deep Learning and ourselves could change the world for better.
  • If you can code, you can do deep learning
  • It is very hands-on and adopts a top-down approach, which means everyone irrespective of varying knowledge can get started with implementing Deep learning models immediately.
  • If you are looking to venture into the Deep learning field, look no further and take this course.
  • I now have the tools to apply deep learning models to real world problems.

fast.ai’s practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems, keras, theano, and much more! neural networks!

Continue reading “Practical Deep Learning For Coders—18 hours of lessons for free”

Practical Deep Learning For Coders—18 hours of lessons for free

Practical Deep Learning For Coders

  • The course exceeded my expectations and showed me first hand how both Deep Learning and ourselves could change the world for better.
  • If you can code, you can do deep learning
  • It is very hands-on and adopts a top-down approach, which means everyone irrespective of varying knowledge can get started with implementing Deep learning models immediately.
  • I now have the tools to apply deep learning models to real world problems.
  • If you are looking to venture into the Deep learning field, look no further and take this course.

fast.ai’s practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems, keras, theano, and much more! neural networks!

Continue reading “Practical Deep Learning For Coders—18 hours of lessons for free”

GitHub

.@mza announcing a new deeplearning benchmark:  #reInvent

  • To run comparisons in a deep learning cluster created with CloudFormation
  • The runscalabilitytest.sh script runs scalability tests and records the throughput as images/sec in CSV files under ‘csv_*’ directories.
  • Step 1: Create a deep learning cluster using CloudFormation .
  • Scalability Comparison Scripts for Deep Learning Frameworks

Contribute to deeplearning-benchmark development by creating an account on GitHub.
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Google’s DeepMind AI Is Now Capable Of Self-Teaching New Things – The Merkle

.@Google DeepMind #AI Capable Of Self-Teaching New Things |   /@DeepLearn007 @themerklenews

  • Google, who developed DeepMind, recently bolstered their AI solution to make it learn new tricks faster.
  • Artificial intelligence capable of teaching itself new things can be seen as a troublesome development.
  • Google’s DeepMind AI Is Now Capable Of Self-Teaching New Things
  • Increasing the performance of this AI solution is of the utmost importance, even though its track record speaks for itself.
  • One of the primary selling points of artificial intelligence is how this technology can learn over time.

One of the primary selling points of artificial intelligence is how this technology can learn over time. Google, who developed DeepMind, recently bolstered their AI solution to make it learn new tricks faster. According to tests, DeepMind is now capable of learning close to 87% of expert human performance in games. This is an exciting development, although its real life use cases remain to be determined.
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Machine Learning 101— Supervised Learning – Shaden Mar’i – Medium

Machine Learning — Supervised Learning.  #BigData #MachineLearning #DataScience #AI

  • Model training using the data set
  • Data sets hold the data which will be used in training your models, whereas, test sets hold the data which you will be using to test and evaluate your models.
  • Data sets join and data wrangling
  • The Restaurant ratings data set along with the customer and Restaurants data set are all used in training the matchbox recommendation model.
  • I have trained my model using the restaurant ratings data sets along with two more data sets; the Restaurant customers and restaurants data sets.

Machine learning is basically teaching computers to solve big problems based on either example data or past experiences. Example data, is purely unlabeled, with unknown and undetected structure. Your…
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The Future of Journalism (a view from TRONC)

The Future of Data Journalism. #BigData #MachineLearning #DataScience #AI

  • So when a Media Company like Tronc comes out and talks about future of Machine Learning and AI for Journalism, we like to pass it along.
  • Take a quick view of the video below to understand how Tronc views the future of journalism and how important the role of video to generate their revenue growth engine.
  • Never miss a story from Vilynx , when you sign up for Medium.
  • At Vilynx we have always known that we are one step ahead of the curve with our technology that makes Video Smarter through Machine Learning.
  • Video made smarter with Machine Learning

Here at Vilynx we have always known that we are one step ahead of the curve with our technology that makes Video Smarter through Machine…
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