Deep-Learning

• MLP vs Deep:

Herein a simple and common compration between multilayer perceptron and deep neural network presented on 4 benchmark dataset which contains: MNist, Fashion MNist, Cfar10, and Cfar100.

Results of model accuracy are tableau below.

Benchmark Name	MLP	Deep Neural Networks
MNist	0.9706	0.9967
Fashion MNist	0.8609	0.9525
Cfar10	0.1005	0.8134
Cfar100	0.0086	0.4522

• Rouhaniat Detection 👳‍♂️

a telegram bot for Rouhaniat and other people image classification using tensorflow and keras.

• Persian Detection:

an erroneous Iranian and foreign people image classification using tensorflow and keras due to deficiency of data.

• Szeged Hungry Weather Prediction Using MLP:

Weather temperature prediction a day of year using multilayer perceptron with tensorflow and keras.

Test data loss is 3.2215388

• Kaggle 17 Flowers:

17 flowers classification using fine-tuned VGG16 with tensorflow and keras

• With Mask or Without Mask? 😷

Don't forget your mask!

A simple classification of wearing or forgetting mask using fine-tuned ResNet50V2 with tensorflow and keras.

Dataset prepared in: Kaggle mask 12k dataset

Results of confusion Matrix using one epoch are tableau below.

Classes/Classes	WithMask	WithoutMask
WithMask	474	9
WithoutMask	10	499

• Gender Detection 👨👩

Male or Female classification using using fine-tuned ResNet50V2 with tensorflow and keras.

Dataset prepared in: Kaggle Gender 200K dataset

Results of confusion Matrix using five epochs are tableau below.

Classes/Classes	Male	Female
Male	11470	72
Female	1284	7175

• Age Prediction Using Image

Dataset prepared in: Kaggle Gender 200K dataset

• House price

House price estimation from visual and textual features.

Dataset prepared in: Houses Dataset

Deep-Learning with PyTorch

• Fashion Mnist PyTorch

The Fashion Mnist dataset classification with PyTorch presented. The Model defined by linear fully connected layers. The result accuracy is 0.8157.

• Train.py

• Test.py (for evaluate)

• Model.py

• Inference.py

• requirements.txt

• FAMnist_PyTorch.ipynb

• Mnist Persian

A simpele Persian Mnist classification using PyTorch

• Train.py

• Test.py

• Model.py

• Inference.py

• requirements.txt

• Mnist_Persian.ipynb

• PersianMnistFinal.pth

• PyTorch Age Prediction Using Face Image

Dataset prepared in: Kaggle Gender 200K dataset

• Train.py

• Test.py

• Model.py

• Inference.py

• requirements.txt

• PyTorch_Age_Prediction_Using_Face_Image.ipynb.ipynb

• Mnist Persian TL

A simpele transfer learning using ResNet50 Persian Mnist classification using PyTorch

• Train.py

• Test.py

• Model.py

• Inference.py

• requirements.txt

• Mnist_Persian.ipynb

• PersianMnistFinal.pth

• PyTorch Age Prediction Using Face Image TL

PyTorch transfer learning using ResNet50 on kaggle face image age prediction dataset

Dataset prepared in: Kaggle Gender 200K dataset

• Train.py
• Test.py
• Model.py
• Inference.py
• requirements.txt
• PyTorch_Age_Prediction_Using_Face_Image.ipynb.ipynb