* Research Fields: Computer Vision and Machine Learning.* Book Topic: Image classification from an image database.* Classification Algorithms: (1) Tiny Images Representation + Classifiers; (2) HOG (Histogram of Oriented Gradients) Features Representation + Classifiers; (3) Bag of SIFT (Scale Invariant Feature Transform) Features Representation + Classifiers; (4) Training a CNN (Convolutional Neural Network) from scratch; (5) Fine Tuning a Pre-Trained Deep Network (AlexNet); (...

* Research fields: Computer Vision and Machine Learning.* Book Topic: Action recognition from videos.* Recognition Tool: Recurrent Neural Network (RNN) with LSTM (Long-Short Term Memory) layer and fully connected layer.* Programming Language: Step-by-step implementation with Python in Jupyter Notebook.* Major Steps: Building a network, training the network, testing the network, comparing the network with an SVM (Support Vector Machines) classifier.* Proce...