An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow

  • This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh.
  • If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and Neural Networks.
  • Organizations are looking for people with Deep Learning skills wherever they can.
  • Starting with this article, I will write a series of articles on deep learning covering the popular Deep Learning libraries and their hands-on implementation.
  • After reading this article you will be able to understand application of neural networks and use TensorFlow to solve a real life problem.

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep l…
Continue reading “An Introduction to Implementing Neural Networks using TensorFlow”

An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow

  • This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh.
  • If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and Neural Networks.
  • Organizations are looking for people with Deep Learning skills wherever they can.
  • Starting with this article, I will write a series of articles on deep learning covering the popular Deep Learning libraries and their hands-on implementation.
  • After reading this article you will be able to understand application of neural networks and use TensorFlow to solve a real life problem.

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep l…
Continue reading “An Introduction to Implementing Neural Networks using TensorFlow”

An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow

  • This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh.
  • If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and Neural Networks.
  • Organizations are looking for people with Deep Learning skills wherever they can.
  • Starting with this article, I will write a series of articles on deep learning covering the popular Deep Learning libraries and their hands-on implementation.
  • After reading this article you will be able to understand application of neural networks and use TensorFlow to solve a real life problem.

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep l…
Continue reading “An Introduction to Implementing Neural Networks using TensorFlow”

Building Convolutional Neural Networks with Tensorflow

Building Convolutional Neural Networks with #Tensorflow #abdsc

  • In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, using tensorflow.
  • Later on we can use this knowledge as a building block to make interesting Deep Learning applications.
  • Source code is also provided.
  • Before you continue, make sure you understand how a convolutional neural network works.
  • The code is also available in my GitHub repository, so feel free to use it on your own dataset(s).

In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from…
Continue reading “Building Convolutional Neural Networks with Tensorflow”

Enterprise Software Tools for AI

  • The complete report, available here, covers how businesses are using machine learning and deep learning, differentiating between AI, machine learning and deep learning, what it takes to get started, software tools for AI and more.
  • There are three exemplary members of the AI software stack available as deep learning frameworks: Caffe, MXNet and TensorFlow.
  • • MXNet, jointly developed by collaborators from multiple universities and companies, is a lightweight, portable and flexible deep learning framework designed for both efficiency and flexibility.
  • Enterprise software tools for AI also includes NVIDIA DIGITS , which puts the power of deep learning into the hands of engineers and data scientists.
  • DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best performing model.

There are three exemplary members of the AI software stack available as deep learning frameworks. This post explores software options for AI.
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The 10 Most Innovative Companies In AI/Machine Learning 2017

The 10 most innovative companies in AI/machine learning 2017

  • While artificial intelligence isn’t likely to come for your job anytime soon (no matter how many dystopian movies say otherwise), AI and machine learning are already automating and improving many everyday tasks, like mobile search or the organization of your family photos.
  • AI is also helping a new breed of companies disrupt industries from medical research to agriculture.
  • Computers can’t yet replace humans, but they can do a great job handling the mundane clutter of our lives.
  • BAIDU
    For accelerating mobile search with artificial intelligence04.
  • SOUNDHOUND
    For giving digital services the power of human speech05.

Don’t fear smart computers—these companies are using AI to prevent disease, predict food shortages, and more.

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Google releases massive visual databases for machine learning

Google releases massive visual databases for #MachineLearning #abdsc

  • Richard’s been tech obsessed since first laying hands on an Atari joystick.
  • Millions of images and YouTube videos, linked and tagged to teach computers what a spoon is.
  • For researchers, that’s where two recently-released archives from Google will come in.
  • The Open Images set comes from a collaboration between Google, Carnegie Mellon and Cornell, with 9 million entries that were tagged by computers first before having those notes verified and corrected by humans.
  • The  Google Research team says  it has enough images to train a neural network “from scratch,” so if you’d like to try your hand at a  DeepDream -style project, better version of Google Photos or the next  Prisma

This article was written by Richard Lawler. Richard’s been tech obsessed since first laying hands on an Atari joystick. 
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Millions of images and YouTube video…
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