Help me answer 18 Deep learning questions

I am machine learning researcher. I have expertise in Computer Vision, NLP, & Machine Learning algorithms. # In Computer Vision, I implemented models like 1. Image classification 2. Object Detection 3. Image segmentation 4. Image enhancement & restoration 5. Video classification and Compression. # In NLP, I worked on 1. Text Classification 2. Sentiment analysis 3. Neural machine translation 4. Text summarisation 5. Entity Extraction # Dataset I have worked on 1. Medical image 2. Solar energy 3. Satellites and IR sensor data 4 Text 5 Images # Framework I am familiar to: 1. Tensorflow 2. Keras 3. Scikit learn 4. Pytorch 5. Numpy 6. Pandas 7. Xgboost/catboost 8. OpenCV # Neural networks architecture I have implemented, 1. CNN 2. LSTM/RNN/GRU 3. TRANSFORMER 4. GAN & it's Variants # Popular architecture I have worked on: 1. Alexnet 2. Resnet 4. Mobilenet 5. Faster RCNN & it's variants 6. DEEPLAB & it's variant 7. YOLO 9. Auto encoder # programming language 1. Python 2. Java 3. C++

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