UmairAli254/Recognize-handwritten-digits.

This model is trained to Recognize the Hand-Written digits. I have used FCNN to build this

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mouralisandra/DeepLearningLabs

A collection of Deep Learning labs for the INSAT Data Science course.

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oceanthunder/schwiftyStudentsML

Implementaion of Random Forest, CNN and FCNN on 'Student Performance Factors' dataset

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mohamedezzeldeenhassanmohamed/Deep-Learning-Projects-Repository

Enjoy the major Deep Learning Projects !!!

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Ahmad-Ali-Rafique/Handwritten-Digit-Recognition-MNIST

This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).

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ishreya09/Skin-Cancer-Detection

Developed a CNN model to classify skin moles as benign or malignant using a balanced dataset from Kaggle, achieving a test accuracy of 81.82% and an AUC of 89.06%. Implemented data preprocessing by resizing images to 224x224 pixels and normalizing pixel values, enhancing model performance and stability.

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PfAndrey/Neuro

A simple FCNN and multitheading rProp implementation from scratch in C++.

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nowtryz/SubUnet

Fully Convolutional Neural Network for heart segmentation

Language: Python - Size: 1.53 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ashutoshtiwari13/Quadrocoptorsimulator-Deep-learning

This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. 🛸 Applications like this are key to many fields of robotics and the techniques applied can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration. 👨‍🏫

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ermolenkodev/keras-net-surgery

Example of converting CNN network to FCNN using keras.

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akarshrajsingh7/Neural-Nets-From-Scratch

Implementations of components of Neural Networks from scratch in Numpy

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Gtothemoon/Zero2FCNN

Building fully connected neural network from zero without using deep learning libraries such as Pytorch.

Language: Python - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

CnnDepth/tx2_fcnn_node

ROS node for real-time FCNN depth reconstruction

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Urvashi2311/Deep-Learning

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yubrshen/CarND-Semantic-Segmentation Fork of udacity/CarND-Semantic-Segmentation

Perform semantic segmentation of photo captured of the front view of a driver identifying the road surface. It's for the purpose of self-driving-car. It's performed by full convolution neural network.

Language: Python - Size: 927 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

tyasemin/Free-Space-Segmentation

Ford Otosan Internship Project 2020 || Freespace Segmentation.

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tariqshaban/fcnn-iris-flask

An implementation of the iris flower classification using Keras on the iris dataset

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Saswata6019/Diabetic-Retinopathy

Detection of Diabetic Retinopathy using a Fully Connected Neural Network for Data Processing (Tensorflow 1.12.0 and Python 3.6.6)

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Saswata6019/Iris-Classification

Classification of 3 species of flowers (versicolor, virginica, setosa) belonging to the Iris family, using a Fully Connected Neural Network for Data Processing (Tensorflow 1.12.0 and Python 3.6.6)

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RogerNi/Simple_CPP_FCNN_Class

This a simple C++ fully connected neural network class for Course COMP3046.

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dzx/CarND-Semantic-Segmentation Fork of udacity/CarND-Semantic-Segmentation

Train FCNN to label each pixel of driving footage as being part of the road (or not). For use in perception systems of autonomous cars.

Language: Python - Size: 83.3 MB - Last synced at: 4 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0