Attribute-Based Access Control with Spring Security

Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)

This is Complete Annotation based Hibernate Project. It touches Hibernate CRUD, Criteria, Restrictions and Relationships(Multiple Mapping).

To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.

Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and…

Brain tumor classification using neural learning methods: CNN, VGG16, InceptionV3, Resnet50

Using Kaggle Brain MRI Picture, Making classifier by pytorch

DeepLearning.AI TensorFlow Developer Professional Certificate (2022) by Laurence Moroney on Coursera

DeepLearning.AI Professional Certificate

This repository contains course notebooks from the TensorFlow for practice specialization on Coursera

Curso Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning disponibilizado pela DeepLearning.AI e ministrado através do Coursera

Coursera - Introduction to Deep Learning and Neural Networks with Keras (Offered By IBM)

A Brain Tumor Detection and Classification Model built using RESNET50 architecture. The model is also deployed as a web application using Flask framework.

FastAPI + React JS + nginx app for brain tumor MRI image classification

A streamlit application that uses a convolutional neural network to identify patients with brain tumor

A CNN model that will classify if subject has a tumor or not base on MRI scan.

A Multi-class Classiication of Brain Tumor Image using CNN

DL - Classification of Brain Tumors using Transfer Learning

Detect brain tumor in X-ray images using deep neural networks

Building a model to classify 3 different classes of brain tumors, namely, Glioma, Meningioma and Pituitary Tumor from MRI images using Tensorflow.

Brain tumor is a severe cancer and a life-threatening disease. Thus, early detection is crucial in the process of treatment. Recent progress in the field of deep learning has contributed enormously…

The repository consists of Dataset and Code for Brain Tumor Classification using ResNet50 and ResNet152. Comparisons were done using MobileNet and custom CNN algorithm . Dataset MRI was cropped usi…