Topic: deepneuralnetworks Goto Github
Some thing interesting about deepneuralnetworks
Some thing interesting about deepneuralnetworks
deepneuralnetworks,Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling size. Then this Convolutional layer Connects to DeepNeuralNetwork. DNN has three hidden layer and output layer having Sigmoid Activation function. I trained this model for 31 epochs and achieved an accuracy of around 85%. I found this massive image dataset online which has 10,028 images(Ten Thousand and Twenty Eight). My model Predicted accurately during the testing phase. I even tested my model using my neighbor dog's pic and it predicted accurately.
User: adityathedev
deepneuralnetworks,
User: akshayush
deepneuralnetworks,Modeling and designing Photonic Crystal Nanocavities via Deep Learning
User: arcadianlee
deepneuralnetworks,This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.
User: cdalsania
deepneuralnetworks,Gender Prediction from Social Media profile pictures using Deep Learning
User: chhayac
deepneuralnetworks,
User: drewlr
deepneuralnetworks,Finding a Artists Style
User: duncangrubbs
deepneuralnetworks,Deep-Learning based CTR models implemented by PyTorch
User: github-hongweizhang
deepneuralnetworks,A collection of deep learning projects and code from Human Unsupervised.
Organization: humanunsupervised
deepneuralnetworks,Detection of people and weapons from video footage or images. The detection time was 30ms - 35ms per frame with Darknet-YOLOv4. A custom dataset was used for the training of the object detection model and data integration was performed using OIDv4 ToolKit.
User: iambankaratharva
deepneuralnetworks,EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
User: iobt-vistec
deepneuralnetworks,An implementation of SRCNN
User: justanhduc
deepneuralnetworks,Sentimental analysis on IMDB using tflearn Deep Neural Network
User: karanchaparwal
deepneuralnetworks,Digit-Recognizer | Kaggle Competition | Keras | Deep Learning
User: kaustubholpadkar
deepneuralnetworks,This study proposes the design and evaluation of a deep learning model using YOLOv8, an advanced object detection algorithm, for object detection and counting in satellite images
User: navuluribalaji
deepneuralnetworks,Practice building different deep neural net models starting with simple problems
User: newbieai
deepneuralnetworks,A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
User: prajwal10031999
deepneuralnetworks,DeepLearning.AI TensorFlow Developer Professional Certificate Specialization
User: rlone2018
deepneuralnetworks,
User: saife245
deepneuralnetworks,Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
User: sanky18
deepneuralnetworks,This is a deep learning model used to identify whether a particular type of breast cancer is malignant or benign. It takes 30 features like area, texture, perimeter etc. in input and based on that features does the required classification. The project involves making deep neural network and training and testing the model with the help of data available from load breast cancer dataset.
User: sanyagera
deepneuralnetworks,Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.
Organization: ultralytics
Home Page: https://ultralytics.com
deepneuralnetworks,Semantic Description of Images- A deep learning model for describing images using natural language.
User: valentinarodrigues
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