### Searching for powerfull AI modules to improve teef gloves

I have seen the teef glove ofNavid Azodi and Thomas Pryor, like this : and also seen this post which has been said about this kind of work problem : Their six-page letter, which Padden passed along to the dean, points out how the SignAloud gloves—and all the sign-language translation gloves invented so far—misconstrue the nature of ASL (and other sign languages) by focusing on what the hands do. Key…

### Searching for powerfull AI modules to improve teef gloves

I have seen the teef glove ofNavid Azodi and Thomas Pryor, like this : and also seen this post which has been said about this kind of work problem : Their six-page letter, which Padden passed along to the dean, points out how the SignAloud gloves—and all the sign-language translation gloves invented so far—misconstrue the nature of ASL (and other sign languages) by focusing on what the hands do. Key…

### How is clustering applied in training an unsupervised neural network?

Please tell us how the clustering method is used in training an unsupervised neural network with some example. It is advisable to talk about clustering. Thank you very much!

### Intelligent crossover for binary chromosomes

I’m studying about genetic algorithm. I’m studying about different crossover operations used for binary chromosomes. These methods usually don’t use any intelligence (1-point crossover, uniform crossover, etc.). I found methods like Fitness-based Crossover and Boltzmann Crossover, which use fitness value so that the child will be created from better parents with a better probability. So…

### Which is better, Mean Squared Error vs. Categorical Cross-entropy

In my code, I usually use Mean Squared Error (MSE), but those guys on tensorflow.org always use Categorical Cross-entropy (CCE) in tutorial examples. I wonder whether the loss function Categorical Cross-entropy is better than Mean Squared Error? Is CCE better in training? Or is it better in certain cases?

### Can Bert be used to extract embedding for large categorical features?

I’ve lot of training data points (i.e in millions) and I’ve around few features but the issue with that is all the features are categorical data with 1 million+ categories in each. So, I couldn’t use one hot encoding because it’s not efficient so I went with the other option which is embedding of fixed…

### How can I train a Deep Learning model using degraded photos and their clean version to correct photos

I have 5000 degraded pictures ( pixelated, blurry, too much luminosity … ) and their clean versions, and I would like to train a model so that it can predict how to correct future pictures. I’ve tried to get as much information as possible, and I think I’ll have to train a deep learning model…

### Neyral network with 3 inputs and 12 outputs. Part II

This post continues the topic: Neural network with 3 input and 12 outputs I conducted several experiments in MATLAB and selected those neural networks that best approximate the data. Here is a list of them: Cascade-forward backprop; Elman backprop; Generalized regression; Radial basis (exact fit); I did not notice a fundamental difference in quality, unless…

### Best Camera and protocol for embedded real time CNN project

I’m looking to develop a stand-alone real-time outdoor imaging CNN application, and I can’t wrap my head around the myriad of camera options and their communication protocols. The target is a Linux embedded device (such as beaglebone + edge TPU). and the top language is python. (though if it’s unavoidable, I can write some c++…

### Difference between Tensorflow and Pytorch

Whats the differences between Pytorch and Tensorflow,is their performance is same or not?