狠狠撸shows by User: JohnRamey2 / http://www.slideshare.net/images/logo.gif 狠狠撸shows by User: JohnRamey2 / Fri, 11 Aug 2017 22:45:01 GMT 狠狠撸Share feed for 狠狠撸shows by User: JohnRamey2 Introduction to Keras /slideshow/introduction-to-keras/78776185 keras-slides-170811224501
An introduction to Keras, a high-level neural networks library written in Python. Keras makes deep learning more accessible, is fantastic for rapid protyping, and can run on top of TensorFlow, Theano, or CNTK. These slides focus on examples, starting with logistic regression and building towards a convolutional neural network. The presentation was given at the Austin Deep Learning meetup: https://www.meetup.com/Austin-Deep-Learning/events/237661902/]]>
An introduction to Keras, a high-level neural networks library written in Python. Keras makes deep learning more accessible, is fantastic for rapid protyping, and can run on top of TensorFlow, Theano, or CNTK. These slides focus on examples, starting with logistic regression and building towards a convolutional neural network. The presentation was given at the Austin Deep Learning meetup: https://www.meetup.com/Austin-Deep-Learning/events/237661902/]]> Fri, 11 Aug 2017 22:45:01 GMT /slideshow/introduction-to-keras/78776185 JohnRamey2@slideshare.net(JohnRamey2) Introduction to Keras JohnRamey2 An introduction to Keras, a high-level neural networks library written in Python. Keras makes deep learning more accessible, is fantastic for rapid protyping, and can run on top of TensorFlow, Theano, or CNTK. These slides focus on examples, starting with logistic regression and building towards a convolutional neural network. The presentation was given at the Austin Deep Learning meetup: https://www.meetup.com/Austin-Deep-Learning/events/237661902/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/keras-slides-170811224501-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An introduction to Keras, a high-level neural networks library written in Python. Keras makes deep learning more accessible, is fantastic for rapid protyping, and can run on top of TensorFlow, Theano, or CNTK. These slides focus on examples, starting with logistic regression and building towards a convolutional neural network. The presentation was given at the Austin Deep Learning meetup: https://www.meetup.com/Austin-Deep-Learning/events/237661902/
Introduction to Keras from John Ramey
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