Maximum Likelihood, as the naming goes, is maximizing the likelihood of your prediction. Let’s say you have an input x and you want to predict y. In this scenario, you want to maximize the probability of Y given x and the bias…
I’ve created a simple data management platform using Nextjs and Django.I’m hoping I can get some kind of feedback to check whether I’m creating would be ACTUALLY useful.
Unnormalized probability distributions are guaranteed to be nonnegative, but not guaranteed to sum or integrate to 1.We need to consider a partition function to obtain a valid probability distribution.But how do you calculate that..? Since it is most often intractable,…
Gibbs Sampling is used when the dimensions of the distribution you are trying to sample from are more than 2, AND when it is difficult to sample from that joint distribution. For example, we want to sample from a joint…
The central limit theorem states that the distribution of independent samples approximates a normal distribution as the number of those samples increases. On the other hand, the Markov Chain states that even dependent samples will converge to a certain state…
When training a model, we usually use a cost function to calculate how far away the predictions are from the actual results. By replacing that cost function with a function called energy function, we call that an energy-based model. What…
Let’s say you want to go from A to B as fast as you can. In order to get there, you’ll have to first drive to the closest station from where you’re at, then take the train, then finally walk…
Yeah, this wasn’t supposed to happen. I trained an Instance segmentation model using NVIDIA’s Transfer Learning Toolkit to detect cars and deployed it on a Jetson. It seems I messed up with either the settings for the threshold or with…
Unsupervised Pre-training is a method to initialize the weights for the hidden layers using unsupervised learning. And the procedure to do that is GREEDY LAYER-WISE PRETRAINING. In this procedure, the machine will learn the weights in an unsupervised manner 1…
Just being able to detect things won’t be useful, so I created a function to invoke some kind of action under a certain condition.Thanks to Edge Electronics’s video, I was able to understand how to structure actions after detection. The…