Search Results for: "neural network"
In the future, we plan to optimise these models further and apply them to new tasks, such as zero-shot learning and self-supervised learning.
Neural network subspaces contain diverse solutions that can be ensembled, approaching the ensemble performance of independently trained networks without the training cost.
dense layer is deeply connected layer from its preceding layer which works for changing the dimension of the output by performing matrix vector multiplication
This post explains most underlined
Plateau phenomenon and it’s remedies
which is related to optimization of ML model.
Neural network pruning, which comprises methodically eliminating parameters from an existing network, is a popular approach for minimizing the resource requirements at test time.
A paper titled “ETA Prediction with Graph Neural Networks in Google Maps” presents a graph neural network estimator for an estimated time of travel (ETA).
Not Quite My Tempo: Why Should We Care About AI Generated Music?
A deep neural network is created by sandwiching “hidden” layers between the input and the output.
Long Short Term Memory in short LSTM is a special kind of RNN capable of learning long term sequences. They were introduced by Schmidhuber and Hochreiter in 1997. It is explicitly designed to avoid long term dependency problems. Remembering the long sequences for a long period of time is its way of working.
Digital Signal Processors take waveforms in voice, audio, video, temperature, and then mathematically manipulate them. The key idea of a DSP is to create complex, realistic signals by precisely controlling and tuning their many parameters.
Many machine learning models, including neural networks, consistently misclassify the adversarial examples. Adversarial examples are nothing but specialised inputs created to confuse neural networks, ultimately resulting in misclassification of the result. These notorious inputs are almost the same as the original image to human eyes but cause a neural network to fail to identify the image’s content.
Cell growth and division are two significant areas of research in the field of cell…