Posts in tag

Deep Learning


Overview This guide shows how to install TFLearn. TFLearn Deep learning library featuring a higher-level API for TensorFlow.   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu   Installation 01. Activate your virtual environment, or skip this step …

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Overview This guide shows how to install Keras. Keras is a high-level neural networks API written and for Python. It is also capable of running on top of TensorFlow.   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu …

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Google I/O 2019 | Swift for TensorFlow Swift for TensorFlow is a platform for the next generation of machine learning that leverages innovations like first-class differentiable programming to seamlessly integrate deep neural networks with traditional software development. In this session, learn how Swift for TensorFlow can make advanced machine learning research easier and why Jeremy …

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PyCon 2019 | Getting Started With Deep Learning: Using Keras & Numpy To Detect Voice Disorders Speaker: Deborah Hanus, Sebastian Hanus   Deep learning is a useful tool for problems in computer vision, natural language processing, and medicine. While it might seem difficult to get started in deep learning, Python libraries, such as Keras make …

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PyCon 2019 | Put Down The Deep Learning: When Not To Use Neural Networks And What To Do Instead Speaker: Rachael Tatman   The deep learning hype is real, and the Python ecosystem makes it easier than ever to neural networks to everything from speech recognition to generating memes. But when picking a model architecture …

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A common industry standard for deep learning hardware is the use of neural network quantization, as noted by an MIT study. Neural networks are computation and memory intensive. Quantization cuts down on the usage of these resources by stripping an input of details which won’t gravely affect the information conveyed. As an example, consider image …

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Google I/O 2019 | Deep Learning to Solve Challenging Problems This talk will highlight some of Google Brain’s research and computer systems with an eye toward how it can be used to solve challenging problems, and will relate them to the National Academy of Engineering’s Grand Engineering Challenges for the 21st Century, including the use …

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Artificial intelligence already impacts many aspects of our daily lives at work, at home, and as we move about. Over the next decade, analyst firm Tractica predicts that annual Global AI enterprise software revenue will grow from $644 million in 2016 to nearly $39 billion by 2025, and services related revenue should reach almost $150 billion. They …

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In 2017, artificial intelligence attracted $12 billion of VC investment. We are only beginning to discover the usefulness of AI applications. Amazon recently unveiled a brick-and-mortar grocery store that has successfully supplanted cashiers and checkout lines with computer vision, sensors, and deep learning. Between the investment, the press coverage, and the dramatic innovation, “AI” has …

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Scientists, technologists, engineers, and visionaries are building the future. Amazing things are in the pipeline. It’s a big deal. But you already knew all that. Such speculation is common. What’s less common? Scale. How big is big? “Silicon Valley, Silicon Alley, Silicon Dock, all of the Silicons around the world, they are dreaming the dream. …

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