This Deep Learning Model Predicts that from which disease you are suffering.

Last update: Jan 20, 2022

Overview

Deep-Learning-Project

This Deep Learning Model Predicts that from which disease you are suffering.

This Project Covers the Topics of Deep Learning

Introduction to Deep Learning
Dataset : Diseases
Exploratory Data Analysis
Introduction to Classification
Tensorflow Model
Keras framework
Artificial Neuron Network
Sklearn
Accuracy Score and Confusion Matrix
File Opeartion on pkl and h5 model
Numpy
Pandas
Object Oriented Programming

Google Colab

Google Slides

Disease Prediction

Owner

Jai Viral Doshi

No Pain No Gain

GitHub Repository https://portfolio4cv.000webhostapp.com/

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This Deep Learning Model Predicts that from which disease you are suffering.

Related tags

Overview

Deep-Learning-Project

Owner

Jai Viral Doshi

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

Simultaneous Demand Prediction and Planning

Use evolutionary algorithms instead of gridsearch in scikit-learn

CLOOB training (JAX) and inference (JAX and PyTorch)

Spatial Intention Maps for Multi-Agent Mobile Manipulation (ICRA 2021)

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

PyTorch implementation of the YOLO (You Only Look Once) v2

Relative Uncertainty Learning for Facial Expression Recognition

The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.

Accelerated deep learning R&D

Bayesian algorithm execution (BAX)

Convolutional Neural Networks

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