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Some thing interesting about fcnn
Some thing interesting about fcnn
fcnn,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).
User: ahmad-ali-rafique
fcnn,Implementations of components of Neural Networks from scratch in Numpy
User: akarshrajsingh7
fcnn,Neural networks on digit recognition. As part of the MITx course on machine learning with Python - from linear models to deep learning
User: amirint
fcnn,This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. πΈ 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. π¨βπ«
User: ashutoshtiwari13
fcnn,A ROS1 self-driving car for the "Autonomous Driving Competition". The vehicle itself is a DonkeyCar with RaspberryPi and Raspberry Pi Camera.
User: catundertheleaf
fcnn,ROS node for real-time FCNN depth reconstruction
Organization: cnndepth
fcnn,Concise neural network with C++ and CUDA
User: dwha
fcnn,Example of converting CNN network to FCNN using keras.
User: ermolenkodev
fcnn,κΈ°μ΄λ₯λ¬λ Term Project [TO IMPROVE]
User: ganyunhee
fcnn,Building fully connected neural network from zero without using deep learning libraries such as Pytorch.
User: gtothemoon
fcnn,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.
User: ishreya09
fcnn,Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for regular NN given only today's data, observing and comparing time series for various models. Additionally finding best value for N previous days and bidirectional LSTM for experiments.
User: mansipatel2508
Home Page: https://colab.research.google.com/drive/1bmVPkGHNUVzvmy3sXHuw0jxQPZKrFGgu
fcnn,Enjoy the major Deep Learning Projects !!!
User: mohamedezzeldeenhassanmohamed
fcnn,A collection of Deep Learning labs for the INSAT Data Science course.
User: mouralisandra
fcnn,Fully Convolutional Neural Network for heart segmentation
User: nowtryz
fcnn,A simple FCNN and multitheading rProp implementation from scratch in C++.
User: pfandrey
fcnn,Detection of Diabetic Retinopathy using a Fully Connected Neural Network for Data Processing (Tensorflow 1.12.0 and Python 3.6.6)
User: saswata6019
fcnn,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)
User: saswata6019
fcnn,An implementation of the iris flower classification using Keras on the iris dataset
User: tariqshaban
fcnn,Ford Otosan Internship Project 2020 || Freespace Segmentation.
User: tyasemin
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