convolutional-layers

This code trains a CNN in Keras to classify cell images (infected/uninfected). It sets up data generators, defines model architecture with convolutional layers, applies regularization, configures callbacks, and trains the model for binary classification.

python cnn python3 convolutional-layers convolutional-neural-networks convolutional-neural-network cnn-keras cnn-model convolutional cnn-architecture cnn-for-visual-recognition cnn-classification python-classifiers

Updated Apr 18, 2024
Python

kyegomez / SoundStream

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Implementation of SoundtStream from the paper: "SoundStream: An End-to-End Neural Audio Codec"

machine-learning ai ml pytorch artificial-intelligence transformer convolutional-layers convolution convolutional-neural-networks codex audioai audio-model

Updated May 17, 2024
Python

somjit101 / Self-Driving-Car

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An implementation of a simple self-driving car control using the image feed from a single dashcam.

car deep-neural-networks deep-learning neural-network tensorflow cnn feature-extraction convolutional-layers self-driving-car convolutional-neural-networks autonomous-driving autonomous-vehicles cnn-keras dash-cam

Updated Nov 23, 2021
Python

KryptixOne / Thesis-Learning-from-Human-Demonstration

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Determine feasible grasp positions and orientations using a spherically transformed dataset.

python deep-learning pytorch convolutional-layers grasping heatmap-generator heatmap-regression learn2learn maml-algorithm

Updated May 24, 2023
Python

idozahavy / NeuralNetwork

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A functional Neural Network class

ai neural-network numpy convolutional-layers backpropagation neural-networks-from-scratch

Updated Nov 20, 2020
Python

Ali-E / FastClip

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Controlling the spectral norm of implicitly linear layers (e.g., convolutional layers)

convolutional-layers regularization robustness generalization spectral-norm

Updated May 17, 2024
Python

kyegomez / ConvNet

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Implementation of the NFNets from the paper: "ConvNets Match Vision Transformers at Scale" by Google Research

machine-learning ai ml convolutional-layers deeplearning convolutional-neural-networks multimodality multimodal-learning

Updated Mar 16, 2024
Python

penny4860 / cnn-visualizer

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Visualization of the filters of VGG16, via gradient ascent in input space.

visualization tensorflow convolutional-layers

Updated Feb 16, 2018
Python

piscab / Behavioral-Cloning

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Clone driving behavior using a deep convolutional neural network (CNN).

car udacity pixel convolutional-layers model-architecture convolutional-neural-networks nvidia-model tensorflow-models self-driving-cars picture-squares

Updated Jun 27, 2017
Python

pjsudharshan / Seep_Segmentation

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pytorch convolutional-layers segmentation unet

Updated Jul 25, 2020
Python

hmcalister / MNIST-Machine-Learning-Investigation

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A beginner's investigation into the world of neural networks, using the MNIST image dataset

convolutional-layers dense-layers model-architectures dropout-layers dropout-rates

Updated Jan 9, 2021
Python

applesoju / DeepNeuralNetworks-P

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cnn dropout classification convolutional-layers convolution convolutional-neural-networks mri-images convolutional-neural-network max-pooling cnn-from-scratch dense-layer

Updated Jan 31, 2023
Python

MEGARAJAN-S / CONVOLUTION-NEURAL-NETWORK

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A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This repository contains the code for CNN with a categorical classification dataset.