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blog.platypush.tech | ||
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pyimagesearch.com
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| | | | | This gentle guide will show you how to implement, train, and evaluate your first Convolutional Neural Network (CNN) with Keras and deep learning. | |
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www.nicktasios.nl
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| | | | | In the Latent Diffusion Series of blog posts, I'm going through all components needed to train a latent diffusion model to generate random digits from the MNIST dataset. In this first post, we will tr | |
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www.jeremymorgan.com
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| | | | | Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. | |
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jaketae.github.io
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| | | In a previous post, we discussed how we can use tf-idf vectorization to encode documents into vectors. While probing more into this topic and geting a taste of what NLP is like, I decided to take a jab at another closely related, classic topic in NLP: word2vec. word2vec is a technique introduced by Google engineers in 2013, popularized by statements such as "king - man + woman = queen." The gist of it, as you may know, is that we can express words as vectors that encode their semantics in a meaningful way. | ||
