Data Scientist in the making

A curated list of articles from my continous learning journey

The future of deep learning

This post is adapted from Section 3 of Chapter 9 of my book, Deep Learning with Python (Manning Publications). It is part of a series of two posts on the current limitations of deep learning, and its future. You can read the first part here: The Limitations of Deep Learning….

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Neuroevolution: A different kind of deep learning

For a deeper dive into neuroevolution, check out Kenneth Stanley’s upcoming talk, “Evolving neural networks through neuroevolution,” at the Artificial Intelligence Conference in San Francisco, September 17-20, 2017. Early price ends August 4. Neuroevolution is making a comeback….

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Deep learning: A brief guide for practical problem solvers

Deep learning is a rapidly growing discipline that models high-level patterns in data as complex multilayered networks. Because it is the most general way to model a problem, deep learning has the potential to solve the most challenging questions in machine learning and artificial intelligence….

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Building TensorFlow 1.3.0-rc2 as a standalone project (Raspberry pi 3 included)

Here you’ll learn how to build Tensorflow either for your x86_64 machine or for the raspberry pi 3 as a standalone shared library which can be interfaced from the C++ API. Watch out for the “For the Rpi” dropdown menus to know what commands are related to the Rpi and which ones aren’t….

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Must-read Path-breaking Papers About Image Classification

Deep Learning models for Image Classification have achieved an exponential decline in error rate through last few years. Since then, Deep Learning has become prime focus area for AI research. However, Deep Learning has been around for a few decades now….

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Multivariate Time Series Forecasting with LSTMs in Keras

Neural networks like Long Short-Term Memory (LSTM) recurrent neural networks are able to almost seamlessly model problems with multiple input variables….

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We are releasing Roboschool: open-source software for robot simulation, integrated with OpenAI Gym. Three control policies running on three different robots, racing each other in Roboschool. You can re-enact this scene by running agent_zoo/….

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Why continuous learning is key to AI

There will back-to-back half-day tutorials on reinforcement learning at the upcoming Artificial Intelligence conference in San Francisco: Building reinforcement learning applications with Ray and Introduction to reinforcement learning….

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Introducing learnr

We’re pleased to introduce the learnr package, now available on CRAN. The learnr package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding….

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