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Practical applications of deep learning and research reports from the road.
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We built insanely fast image classifiers with MobileNets in TensorFlow
Head on over to Hacker Noon for an exploration of doing image classification at lightning speed using the relatively new MobileNet…
Matt Harvey
Aug 9, 2017
Super simple distributed hyperparameter tuning with Keras and Mongo
Super simple distributed hyperparameter tuning with Keras and Mongo
One of the challenges of hyperparameter tuning a deep neural network is the time it takes to train and evaluate each set of parameters. If…
Matt Harvey
Apr 18, 2017
Let’s evolve a neural network with a genetic algorithm—code included
Let’s evolve a neural network with a genetic algorithm—code included
Building the perfect deep learning network involves a hefty amount of art to accompany sound science. One way to go about finding the right…
Matt Harvey
Apr 6, 2017
Five video classification methods implemented in Keras and TensorFlow
Five video classification methods implemented in Keras and TensorFlow
Exploring the UCF101 video action dataset
Matt Harvey
Mar 21, 2017
Training a deep learning model to steer a car in 99 lines of code
Training a deep learning model to steer a car in 99 lines of code
The magical power of deep learning in 2017.
Matt Harvey
Jan 24, 2017
Continuous video classification with TensorFlow, Inception and Recurrent Nets
Continuous video classification with TensorFlow, Inception and Recurrent Nets
Part 2 of a series exploring continuous classification methods.
Matt Harvey
Dec 30, 2016
Continuous online video classification with TensorFlow, Inception and a Raspberry Pi
Continuous online video classification with TensorFlow, Inception and a Raspberry Pi
Or, using convolutional neural networks to identify what’s on TV
Matt Harvey
Dec 26, 2016
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