### How to make DNN learn multiplication/division?

A single neuron with 2 weights and identity activation can learn addition/subtraction as the 2 weights will converge to 1 and 1 (addition), or 1 and -1 (subtraction). However, for multiplication and division, it’s not that easy. Can a single neuron learn multiplication or division? If not, how many layers of DNN can learn these?

### Are current AI models sufficient to achieve Artificial General Intelligence?

I read an interesting essay about how far we are from AGI. There were quite a few solid points that made me re-visit the foundation of AI today. A few interesting concepts arose: imagine that you require a program with a more ambitious functionality: to address some outstanding problem in theoretical physics — say the…

### How to make DNN learn multiplication/division?

A single neuron with 2 weights and identity activation can learn addition/subtraction as the 2 weights will converge to 1 and 1 (addition), or 1 and -1 (subtraction). However, for multiplication and division, it’s not that easy. Can a single neuron learn multiplication or division? If not, how many layers of DNN can learn these?

### How many parameters are being optimised over in a simple CNN?

Okay so here’s my CNN (simple example from a tutorial) along with some arithmetic to get the total number of free parameters. We’ve got a dataset of 28*28 grayscale image (MNIST). First layer is a 2D convolution using 32 3×3 kernels. Dimensionality of the output is 26x26x32 (kernel stride length was 1 and we have…

### Why is my variational auto-encoder generating random noise?

This is my first variational autoencoder. Background info: I am using the MNIST digits dataset. The model is created and trained in PyTorch. The model is able to get a reasonably low loss, but the images that it generates are just random noise. Here are my script and the images that were generated by the…

### Is there any app / API which generates meaningful information?

I was wondering if there is any application / API which given a word comes up with a legible and meaningul information related to it, and if possible relate it to any recent happennings or development in this space. For e.g. If I were to give the term Donald Trump it should give a snippet…

### Small dataset problems

I want to create a small dataset (about 10 classes and 20-30 images each), should I some noise (wrong label sample) in train/val/test and why?

### What is the most suitable AI technique to use for path planning?

I am making a firetruck using Arduino Uno with flame sensors and ultrasonic sensors to detect how to move and where to go. As this is a project for my university, I am asked to implement AI in it for path planning. I am not sure whether to use something like A* technique or ID3…

### Find the nearest object in a image which is captured from camera?

Objective : To find the nearest object (closer distance object) in the single camera image. But Image Contains multiple objects shown below: I searched in the net and found this formula to calculate the distance of object from camera F = (P x D) / W Further Detail click on the Link Is there any…

### Why Information Gain can’t be used as a splitting method for Decision Tree Regression?

In Decision Tree Regression, we can use ‘Reduction in Variance’ or MSE(Mean Squared Errors) as Splitting Methods. There are methods like Gini Index, Information Gain, Chi-Square for splitting on Classification Trees. Now, I read somewhere that we cannot use Information gain as a splitting method for Regression Trees. Why is it so and what other…