Model creation Model documentation 3 variations 2 scenarios included Source code
Welcome to my concert.
Here is the man with a strong grip in the field of deep learning who will provide you with an accurate deep learning model.
Deep learning services:
- Image classification
- Image segmentation
- Audio classification
- Siamese networks
- computer vision
- Analysis of feelings
- computer vision
- Object detection/tracking
- Activity recognition
- Human pose estimation
- Data labeling
- Model optimization
- much more...
The deep learning models and algorithms I use are ( are not limited only to these ):
- ANN, CNN, DCNN, RNN, LSTM, GAN, etc.
- MobileNet, GoogleNet, VGGNet, ResNets, SSD, etc.
- YOLOv6, RCNN, Faster-RCNN, DeepLabv3+, EfficientDet, YOLOR, etc.
- much more...
Tools and Technologies:
- PyTorch
- OpenCV
- Piton
- TensorFlow
- Google Colab/Jupyter Notebook
Model implementation:
- AWS
- Flutter (for mobile app)
- React (for web application)
- Tkinter (for desktop application)
With my firm command of all regions of artificial intelligence and deep learning, I will solve your problem at a given time and according to your requirements.