Tag Archives: Deep Learning

[UFLDL Exercise] Implement deep networks for digit classification

I’m learning Prof. Andrew Ng’s Unsupervised Feature Learning and Deep Learning tutorial, This is the 6th exercise, which is a combination of Sparse Autoencoder and Softmax regression algorithm, and fine-tuning algorithm. It builds a 2-hidden layers sparse autoencoder net and one layer Softmax regression, we first train this network layer by layer, from left to right, then […]

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[UFLDL Exercise] Softmax Regression

I’m learning Prof. Andrew Ng’s Unsupervised Feature Learning and Deep Learning tutorial, This is the 4th exercise, which is using Softmax regression to build a classifier and classify MNIST handwritten digits. Just like my other UFLDL exercise posts, I’ll not go through the detail of the material. More details about this exercise can be found HERE. I’ll re-implement Softmax […]

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[UFLDL Exercise] Sparse Autoencoder

I’m learning Prof. Andrew Ng’s Unsupervised Feature Learning and Deep Learning tutorial, I finished the first exercise, the tutorial is very professional and easy to learn. I don’t think I need to go through the detail of what Sparse Autoencoder is, I’ll put my code of the exercise here, if you have any question about it, feel […]

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