GitHub topics: feature-extractors
IBM/gfmn 📦
Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019
Language: Python - Size: 567 KB - Last synced at: 17 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 8
pouryahoseini/Convolutional-Stacking-Network
A deep convolutional network made of stacked feature extractors
Language: Python - Size: 75.2 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1
AkhilSinghRana/SignalClassification-UsingCNNs
The project is to train and evaluate the reliability of using CNNs, in classifying, different Signals.
Language: Jupyter Notebook - Size: 33.2 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 1
Ishan-Kotian/Nerual-Network_Image-Data
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria.
Language: Jupyter Notebook - Size: 285 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
