If you wish to grasp Deep Learning, you must complete Deep Learning projects. The breast cancer classification project is yet another straightforward but practical project to do. This is also an image processing project. A significant number of women worldwide die every year only due to breast c...
This is a deep learning based model. More specifically, what I've done is combined the following approaches: Self-Attention Generative Adversarial Network(https://arxiv.org/abs/1805.08318). Except the generator is apretrained U-Net, and I've just modified it to have the spectral normalization...
Bio:Aqsa Zafar, Ph.D. scholar in Data Mining researches "Depression Detection from Social Media via Data Mining," and writes about Data Science and machine learning atMLTUTto share knowledge and experience in the field. Related: Top 10 Data Science Projects for Beginners 4 Tips for Dataset Cur...
However, different open-source projects use various f... J Wang,X Zhang,L Chen,... - 《Information & Software Technology》 被引量: 0发表: 2022年 A Novel Deep-Learning-Based Bug Severity Classification Technique Using Convolutional Neural Networks and Random Forest with Boosting The accurate ...
DeepDIY: Deep Learning, Do It Yourself Welcome to contact me:pubrcv@163.com Introduction This is an open source project to help people who are trying to use Deep Neural Network model for image processing but troubled by programming or computation resources. With DeepDIY, you can: ...
Cloud-based deep learningoffers scalability and access to advanced hardware such as GPUs andtensor processing units, making it suitable for projects with varying demands and rapid prototyping. It also eliminates the need for large upfront investments in hardware. ...
Find interactive deep learning applications and move forward with your own artificial intelligence projects. Deep Learning from Scratch: Building with Python from First Principles Sale Deep Learning from Scratch: Building with Python from First Principles ...
deep learning based solutions in The Multimodal Brain Tumor Segmentation Challenge (BraTS) in each year. Red line represents the Top-1 whole tumor dice score of the test set in each year. Researchers shift their interests to deep learning based segmentation methods due to the powerful feature ...
A new deep-learning-based reduced-order modeling (ROM) framework is proposed for application in subsurface flow simulation. The reduced-order model is based on an existing embed-to-control (E2C) framework and includes an auto-encoder, which projects the system to a low-dimensional subspace, and...
help you master popular algorithms like CNN, RCNN, RNN, LSTM, and RBM using the latest TensorFlow 2.0 package in Python. In this deep learning training, you will be working on various real-time projects like Emotion and Gender Detection, Auto Image Captioning using CNN and LSTM, and many ...