All Questions
Tagged with tensorflowpytorch
21 questions
1vote
2answers
170views
Why are PyTorch and TensorFlow the most widely used frameworks?
Even through there are several others, what's special about these two that make them so popular?
0votes
0answers
52views
YOLOv1 - Why do we predict multiple bounding boxes?
When you look at the YOLOv1 paper and corresponding implementations it is always mentioned that for every grid cell, we predict B bounding boxes (usually two). Then we use IoU to choose the ...
1vote
0answers
49views
Any tutorials/courses to learn variational autoencoders on tabular data?
I aim to use variational autoencoders (VAE) to find interpretable latent spaces for genetic data. So, I need to understand how they work, what activation function to use, etc. But all tutorials and ...
0votes
0answers
59views
PyTorch and Opacus for Differential Privacy
When testing an example code from the TensorFlow website using Jupyter Notebook, which is available at the following link: [LINK_1], I encountered an error. You can find my question about that error ...
0votes
2answers
385views
I'm trying to understand the use model for different Python libraries
I'm new to ML/AI field, and after completing several free university courses from MIT OpenCourseWare and Harvard CS50, I've gained some familiarity with the theoretical foundations of Artificial ...
0votes
1answer
388views
What is actually being saved in the file when you save a model? For example a Tensorflow SavedModel file [closed]
I'm building a feature for my application that requires reading the properties of a saved ML model file (after it's trained). However, as I am pretty new to this field, I don't really understand the ...
1vote
1answer
792views
Is it possible to write/build an AI model without using Frameworks? [closed]
I'm a relatively newbie in this world of Artificial Intelligence, although I am able to use frameworks such as Tensorflow and also understand the general concepts behind training weights and ...
2votes
1answer
242views
How does the memory augmented neural network work, and how to make a simple implementation?
How does the memory augmented neural network (MANN) work? How can I make a simple MANN with a vanilla neural network especially without a recurrent network?
0votes
2answers
7kviews
How "exactly" are AI-accelerator chip ASICs built differently than GPUs as GPU seem to lead for many AI workloads on performance
There is a lot of discussion on google search about AI-custom-accelerators (like Intel's Gaudi) and GPUs. Almost all of them say generic things like, a) AI Accelerator chip is for specialized AI ...
0votes
1answer
247views
How do I use ResNet for text processing?
I need to implement a deep neural network [residual neural network (ResNet)] that takes some text as an input [length M x N] and then processes it. Now as far as my understanding goes, ResNet is used ...
0votes
1answer
207views
Help on Deep Sarsa algorithm that work with pytorch (Adam optimiser) but not with keras/Tensorflow (Adam optimiser)
I have a deep sarsa algorithm wich work great on Pytorch on lunar-lander-v2 and I would use with Keras/Tensorflow. It use mini-batch of size 64 wich are used 128 time to train at each episode. There ...
5votes
2answers
4kviews
How to generate new data given a trained VAE - sample from the learned latent space or from multivariate Gaussian?
To generate synthetic dataset using a trained VAE, there is confusion between two approaches: Use learned latent space: z = mu + (eps * log_var) to generate (...
1vote
1answer
1kviews
Which approach can I use to generate forged signatures from real ones?
I am in internship period and I'm working on a signature verification problem. This process needs real and forged signatures. All I have are the real signatures (like 30 signatures per person), and I ...
2votes
0answers
688views
Positional Encoding in Transformer on multi-variate time series data hurts performance
I set up a transformer model that embeds positional encodings in the encoder. The data is multi-variate time series-based data. As I just experiment with the positional encoding portion of the code I ...
1vote
1answer
52views
Are there any stats available on the usage of libraries by deep learning researchers?
I know three Python libraries that are popular in deep learning research community: Keras, PyTorch, Tensorflow. I don't know much about Theano. This question is not about the efficiency, flexibility ...