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learnpython.com | ||
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data36.com
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| | | | | Learn data science and machine learning in Python, pandas and scikit learn! This is a free series of 20 in-depth tutorial articles. | |
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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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www.interviewbit.com
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| | | | | Explore our top 9 best data science courses online for 2024. Find the right course to boost your career in data science, from beginner to advanced levels. | |
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lilianweng.github.io
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| | | So far, I've written about two types of generative models, GAN and VAE. Neither of them explicitly learns the probability density function of real data, $p(\mathbf{x})$ (where $\mathbf{x} \in \mathcal{D}$) - because it is really hard! Taking the generative model with latent variables as an example, $p(\mathbf{x}) = \int p(\mathbf{x}\vert\mathbf{z})p(\mathbf{z})d\mathbf{z}$ can hardly be calculated as it is intractable to go through all possible values of the latent code $\mathbf{z}$. | ||
