I managed to get this working on another computer last month but can not remember how to get it to select the proper type of GPU. "Failed to detect a default CUDA architecture." The instructions say " set the TCNN_CUDA_ARCHITECTURES environment variable for the GPU you would like to use...
This dataset is used to train an Emphasized Channel Attention, Propagation and Aggregation Time Delay Neural Network (ECAPA-TDNN), which is implemented using the Hugging Face SpeechBrain library. Time Delay Neural Networks (TDNNs), aka one-dimensional Convolutional Neural Networks (1D C...
Use this tutorial to learn how to directly restore the quality of aged or damaged images using GFPGAN!
Wikipedia is so popular that it takes hundreds of machines to handle the load. For a description of how all of these machines fit together (including a very nice architecture diagram), see Wikimedia.org: Wikimedia servers. The only reason that a wiki works is because the community of people...
Many possibilities given the simple design of the architecture. I'm also interested in hearing any progress you make on teaching using PySimpleGUI. It's very much part of the vision I've got for PySimpleGUI, especially as I move into the mobile space. Not every kid around the world can...
architecture optimal while scaling for different sizes. Normally, something like scaling-up depth will cause a ratio change between the input channel and output channel of a transition layer, which may lead to a decrease in the hardware usage of the model. The compound scaling technique used in...
In short, we draw parallels between the black-box problem in XAI and a similar epistemic challenge faced by cognitive psychologists. This paper is specifically written to engage cognitive psychologists in a current and applied challenge where their skill set should prove invaluable: solving black-box...
These values will later be used to draw bounding boxes and create new cropped images of the face which was detected. The face image is then passed to the image classification models to determine mood, gender and age of the person. After all the models are run, we have 3 important strings...
Depending on the nature of your task, you might need to modify the architecture of the pre-trained model. This could involve adjusting the number of output units in the final layer for classification tasks or modifying layers to suit specific input types. During fine-tuning, you usually start...
CNNs and RNNs are just two of the most popular categories of neural network architectures. There are dozens of other approaches, and previously obscure types of models are seeing significant growth today. Transformers, like RNNs, are a type of neural network architecture well suited to processing...