Category: LeNet

  • Visualizing the Convolutional Filters of the LeNet Model

    First of all, Happy New Year to you all! We have a great year ahead. And, let’s start it with something interesting. We’ve talked about how Convolutional Neural Networks (CNNs) are able to learn complex features from input procedurally through convolutional filters in each layer. But, how does a convolutional filter really look like? In…

  • Getting the LeNet model working with Face Recognition

    In my last post, I talked about how the LeNet Convolutional Neural Network model is capable of handling much more complex data than the intended MNIST dataset. We saw how it got ~99% accuracy when it learned to identify 10 faces from the raw pixel intensities. So, let’s see the code I used to get…

  • Can the LeNet model handle Face Recognition?

    I recently followed a blog post – at PyImageSearch by Adrian Rosebrock – on using the LeNet Convolutional Neural Network model on the MNIST dataset – i.e. use for handwritten digit recognition – using Keras with Theano backend. I was able to easily try it out thanks to the very detailed and well thought out…