In this video, deeplizard debugs the forward method and review the tensor shape transformations as well as the formula to calculate convolution output size.
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Here's an interesting tutorial on prepping image data for CNNs. It is challenging to know how to best prepare image data when training a convolutional...
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In this video, deeplizard shows how to use a convolutional neural network (CNN) to generate an output prediction tensor from a sample image of a...
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Here's an interesting and skeptical walk through of neural networks vs deep neural networks and what, if anything, makes them different. Here's an excerpt: The...
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Here's a great article on avoiding overfitting in deep neural networks. No one is too legit to overfit. Training a deep neural network that can...
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Of all the machine learning algorithms, the most fascinating are neural networks. They don't require statistical hypothesis or rigorous data preparation save for normalization. The...
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Here's an interesting look at the cutting edge technologies just on the horizon of AI research and what problems they can potentially solve that current...
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Here's an interesting article on "oscillatory neural networks" and how physicists trained it to perform image recognition. An oscillatory neural network is a complex interlacing...
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