MobileNetV3 SSD的简洁版本

Tensorflow implementation for two new MobileNetV3 models!

Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)

PyTorch Implementation of MobileNetV3 large and small

Multiclass Classification of Imbalanced Image Dataset using Transfer Learning.

Repo Tim Disability 4. Demo Day Machine Learning with Tensorflow, PROA Digitalent Kemkominfo 2022.

Successfully developed a CNN model which can precisely classify flowers upto an accuracy of more than 80% on the test set.

DeepLabV3+ based network for fake faces detection

This project focuses on classifying distinct weather images using Convolutional Neural Networks (CNN) built from scratch and fine-tuning various state-of-the-art (SOTA) pre-trained models like AlexNet, ResNet50, VGG16, and MobileNet v3 Large. The models are trained and evaluated on a custom weather dataset, leveraging PyTorch for deep learning.

This project focuses on detecting lung cancer from medical images using Convolutional Neural Networks (CNNs). It includes custom-built CNNs and fine-tuned pretrained models such as ResNet101, DenseNet121, AlexNet, and VGG16 to improve detection accuracy.