A deep neural network approach to clone human driving behavior
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Updated
Jan 26, 2017 - Jupyter Notebook
A deep neural network approach to clone human driving behavior
This project is implemented using CNN algorithm.The proposed system enhances the driver field of vision in Complex weather conditions by producing voice alerts.
Python module for image convolution and ML classification.
Multi-scale version of ROCKET: a random convolutional kernel machine learning method
Built a U-Net, a type of CNN used for image segmentation, i.e to predict a label for every single pixel in an image
Udacity Robotics Nanodegree Deep Learning Project
AI for a pixel style self-developed combat game.
denoising speech signal using a denoising convolutional autoencoder
CNN for Fashion Mnist
Conviz is a convolutional neural network layer visualization library developed in Python and used with Keras.
A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.
Implementation of SoundtStream from the paper: "SoundStream: An End-to-End Neural Audio Codec"
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.
CNN and ANN models trained with MNIST dataset.
Convolutional Neural Networks Playground
in this repository i write a simple convolutional nural network model using tensorflow and keras ππ my medium account π
Implementation of the NFNets from the paper: "ConvNets Match Vision Transformers at Scale" by Google Research
An implementation of a simple self-driving car control using the image feed from a single dashcam.
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