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weisser-zwerg.dev | ||
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blog.lukesalamone.com
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qbnets.wordpress.com
My software is working! I am ecstatic. In a previous blog post entitled "Simple, Monte Carlo driven, Pearl-identifiability checker" which I wrote 2 days ago, I described my future plans to add to my software JudeasRx, an "identifiability checker" based on a very efficient and mature MCMC (Markov Chain Monte Carlo) Python software library called... |
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darrenjw.wordpress.com
Yesterday there was an RSS Read Paper meeting for the paper Unbiased Markov chain Monte Carlo with couplings by Pierre Jacob, John O'Leary and Yves F. Atchadé. The paper addresses the bias in MCMC estimates due to lack of convergence to equilibrium (the "burn-in" problem), and shows how it is possible to modify MCMC algorithms... |
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blog.keras.io
[AI summary] The text discusses various types of autoencoders and their applications. It starts with basic autoencoders, then moves to sparse autoencoders, deep autoencoders, and sequence-to-sequence autoencoders. The text also covers variational autoencoders (VAEs), explaining their structure and training process. It includes code examples for each type of autoencoder and mentions the use of tools like TensorBoard for visualization. The VAE section highlights how to generate new data samples and visualize the latent space. The text concludes with references and a note about the potential for further topics. |
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