Preview | 2008.06.11
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2008.06.11
Neural networks |
2008.06.24
Rifftrax IIThe Aeon Flux Rifftrax. |
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2008.06.11
Neural networksI was chatting with Jon about the application of neural networks to stock trading, which is basically a perfect example for explaining the science. It went something like a'this: |
2018.05.13
Deep diveNeural style transfer using DL4J and other starter projects. An ATL trip and two hours before the mast. |
2019.05.23
ThumbnailingNaive thumbnail generation in Java. |
coornail.net
Teaching an AI to countNeural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow. |
www.paepper.com
Do you know which inputs your neural network likes most? :: Päpper's Machine Learning Blog - This blog features state of the ...Recent advances in training deep neural networks have led to a whole bunch of impressive machine learning models which are able to tackle a very diverse range of tasks. When you are developing such a model, one of the notable downsides is that it is considered a "black-box" approach in the sense that your model learns from data you feed it, but you don't really know what is going on inside the model. |
marcospereira.me
Backpropagation From Scratch-Marcos PereiraIn this post we summarize the math behind deep learning and implement a simple network that achieves 85% accuracy classifying digits from the MNIST dataset. |