This project is implemented using CNN algorithm.The proposed system enhances the driver field of vision in Complex weather conditions by producing voice alerts.
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Updated
Oct 14, 2022 - Jupyter Notebook
This project is implemented using CNN algorithm.The proposed system enhances the driver field of vision in Complex weather conditions by producing voice alerts.
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
CNN and ANN models trained with MNIST dataset.
Udacity Robotics Nanodegree Deep Learning Project
AI for a pixel style self-developed combat game.
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.
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.
A functional Neural Network class
An implementation of a simple self-driving car control using the image feed from a single dashcam.
A project with front end built using flask, that detects if a fire is present in a vedio and also checks if it can be extinguished or not
Improving the performance of convolutional networks
Clone driving behavior using a deep convolutional neural network (CNN).
A beginner's investigation into the world of neural networks, using the MNIST image dataset
Sentiment Analysis Using Tensorflow
Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting
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