Project review Analysis of results
Deep learning:
- Deep neural networks
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Generative Adversarial Neural Networks (GAN)
- Custom CNN model
- Label encoders
- Others...
Machine learning:
- Regression (Linear, Logistic)
- Classification
- Group
- KNN
- MVS
- Decision trees
- Random forests
- naive bayesian
- Assembly methods
- Dimensionality reduction (PCA and more...)
- Others...
Computer vision:
- Object detection
- Human pose detection
- facial recognition
Models I have worked with:
- GAN
- RCNN
- U-NET
- cnn
Note: This will be highly appreciated if you discuss your project before placing an order.
Models and methods:
Deep learning
•
Neural networks
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Supervised learning
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Unsupervised learning
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Reinforcement learning
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Feature learning
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linear regression
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Classification
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Object detection
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Logistic regression
Technology:
Piton
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TensorFlow
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PyTorch
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OpenCV
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Keras
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collaboration