### On which data evaluate an object detection model ? (similar or real life data ?)

I’m training an object detection model (SSD300) to detect and classify body poses in thermal images. Even I have more than 2k different poses, but the background does not change much (I have only 5 different points of view). I trained my model on these images (70% for the training and 30% for validation). Now,…

### Convoluational Neural Networks (CNN) and Max pooling

When using convolutional networks on an images with multiple channels, do we max pool after we sum the feature map from each channel? or do we max pool each feature map separately and then sum? Whats the intuition behind this? (i.e. is there difference between the two?)

### Error when using tensorflow HMC to marginalise GPR hyperparameters

I originally posted on SO (original post) but was suggested to post here. I would like to use tensorflow (version 2) to use gaussian process regression to fit some data and I found the google colab example online here 1. I have turned some of this notebook into a minimal example that is below. Sometimes…

### Why does randomizing samples of reinforcement learning model with a non-linear function approximator reduce variance?

While reading the DQN paper, I found that randomly selecting and learning samples reduced divergence in RL using a non-linear function approximator (e.g a neural network). So why does Reinforcement Learning using a non-linear function approximator diverge when using strongly correlated data as input?

### Best architecture to learn image rotation?

Given an input image and an angle I want the output to be the image rotated at the given angle. So I want to train a neural network to do this from scratch. What sort of archetecture do you think would work for this if I want it to be lossless? I’m thinking of this…

### Acoustic Input Data: Decibel or Pascals

In acoustics decibel levels were defined to solve an issue with showing values that are interpretive, understandable, and easy to communicate in contrast to intensity or pressure in Pascals. $dB = 10*\log({\frac{p^2}{p_{ref}^2}})$ This log scale helps human understanding of an acoustic signal because human hearing is capable of discerning the difference of about 1 dB…

### Is there a reason to choose regular momentum over Nesterov momentum for neural networks?

I’ve been reading about Nesterov momentum from here and it seems like a nice improvement over regular momentum with no extra cost whatsoever. However, is this really the case? Are there instances where regular momentum performs better than Nesterov momentum or is Nesterov momentum performs at least as good as the regular momentum all the…

### Predict a value calculated from a hash (and hash before that hash)

I have a hash, e.g. 552c51576e2a6dec462b0d56af8c31713e26a763c0e2a3d48ebbf4b99958eeba. This hash hashed again, is 39f20b3e5cc0181d6fbe2a4d52c7b3c315e8526e35da3cd0b18e25d10b670dc3. Now I only know the last hash 39f20b3e5cc0181d6fbe2a4d52c7b3c315e8526e35da3cd0b18e25d10b670dc3. It matches value 1.58. I do not know the first hash, as this is a security feature (that all hashs are generated and we go from top to bottom to not re-calculate the hashes). A…

### Specific Neural Network Subtype for Automatic Web Scraping (Hyperlink Identification)

For a personal project, I’m trying to download files from a specific set of websites using a web scraper. The scraper has to navigate multiple webpages to get to the files I want to download. I’d like to use AI to find each successive link in order to avoid the inflexibility of hardcoded DOM paths.…

### Nuances of Turing test requirements

My understanding is that there is no singular “The Turing Test Ruleset” and competitions don’t all do it the exact same way. Still, I’m wondering about some commonly accepted rules and their nuances. My Googling is not producing any specifics about this. I think most people agree that the purpose of the humans who talk…