### How can one stack CNNs?

I know that ensembles can be made by combining sklearn models with a VotingClassifier, but is it possible to combine different deep learning models? Will I have to make something similar to Voting Classifiers?

### Can I solve this assignment problem with RL or AI planning, and if yes how?

I have a list of positive nonzero integers $L=[v_1,\dots,v_𝑛|v_𝑖\in Z^{\neq}]$ which sum up to $V=\sum_i v_i$. The list is not sorted, i.e., there’s no guarantee that $v_i\leq v_{i+1}\ \forall\ i.$ Each integer can be be assigned either to a set $S_1$ or a set $S_2$: equivalently, it can be labeled as $l_1$ or $l_2$. The…

### Pose Estimation Feasibility on IoT

I want to estimate hand poses and recognize gestures using an open source library like OpenPose on live video. Considering the fact that such libraries are very computationally intensive; how likely is it that it will run on a Raspberry Pi 4 using a Pi-Cam while giving me something above 15 fps? Assume that the…

### What is the difference between the concepts “known environment” and “deterministic environment”?

According to the book “Artificial Intelligence: A Modern Approach”, “In a known environment, the outcomes (or outcome probabilities if the environment is stochastic) for all actions are given.”, and in a deterministic environment, “the next state of the environment is completely determined by the current state and the action executed by the agent…”. What’s the…

### How to train FFNN with Q-learning?

I know that in any NN architecture, the input data are states, and at the output layer Q-functionality of each action. Tell me please, how to adjust all weights in this case?

### Is it possible to train a neural network with 3 inputs and 12 outputs?

The selection of experimental data includes a set of vectors of different dimensions. The input is a 3-dimensional vector, and the output is a 12-dimensional vector. The sample size is 120 pairs of input 3-dimensional and output 12-dimensional vectors. Is it possible to train such a neural network (in MATLAB)? Which structure of the neural…

### Efficient implementation of seperable convolution in tensorflow

It seems like the native implementation of separable convolution in tensorflow is not efficient. https://github.com/tensorflow/tensorflow/issues/12940 Is anyone aware how can we get an efficient implementation of separable convolution in tensorflow from somewhere? If not is there any working/efficient implementation of separable convolution in other libraries?

### Why there’s so much search for Python professionals in AI?

Even with ample knowledge about the low computational performance that Python has, and even though it is an interpreted language that is not recommended for real-time applications, it is the technology that I see most companies looking for professionals in AI. I am curious, because many tests over the internet show that, for example, C++…

### Autoencoder network for feature selection not converging

I am training an undercomplete autoencoder network for feature selection. I am using one hidden layer in the encoder and decoder networks each. The ELU activation function is used for each layer. For optimization, I am using the ADAM optimizer. Moreover, to improve convergence, I have also introduced learning rate decay. The model shows good…

### What is generally the best way to combine tabular image metadata with image data in a convolutional neural network?

I have 26 features from tabular data (clinical variables from patients like age gender etc) that I want to add to my cnn which is using xray images from patients. I am using the inception network. Right now I am just concatenating these features to the final fully connected layer just before the softmax activation.…