Tag Archives | convolutional neural network

LeNet – Convolutional Neural Network in Python

In today’s blog post, we are going to implement our first Convolutional Neural Network (CNN) — LeNet — using Python and the Keras deep learning package. The LeNet architecture was first introduced by LeCun et al. in their 1998 paper, Gradient-Based Learning Applied to Document Recognition. As the name of the paper suggests, the authors’ implementation of LeNet was used […]

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Generating art with guided deep dreaming.

One of the main benefits of the bat-country Python package for deep dreaming and visualization is its ease of use, extensibility, and customization. And let me tell you, that customization really came in handy last Friday when the Google Research team released an update to their deep dream work, demonstrating a method to “guide” your input images […]

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bat-country: an extendible, lightweight Python package for deep dreaming with Caffe and Convolutional Neural Networks

We can’t stop here, this is bat country. Just a few days ago, the Google Research blog published a post demonstrating a unique, interesting, and perhaps even disturbing method to visualize what’s going inside the layers of a Convolutional Neural Network (CNN). Note: Before you go, I suggest taking a look at the images generated using […]

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