I have worked with Linear Algebra, Tensorflow, Keras, Natural Language Processing & several AI frameworks such as Caffe, CNTK, NLTK, Deep learning, DeepLearning4J, Pybrain, Scikit-Learn, Swift AI, Theano, Torch, Distributed Machine Learning Toolkit, H20, Mahout, MLlib & NuPICetc >>I have extensive experience in Machine Learning covering the topic of Wireless Sensor Network, Iris Recognition, Image processing, Recommendation System, Disease Prediction using Data Mining, Neural Network, Spiking Neural Networks, artificial neuron model, dynamic neural network, CNN, RNN, Image Recognition, Prediction Models, Emotion detection, object detection, Video Surveillance, Blur Detection, Image inpainting, SVM Classifier. >> I have covered following areas in Deep Learning : - Finance - Health care - Life Science - Video Recognition - Sentimental Analysis - Radiology - Agriculture - Web Speed optimization - Image Processing - Stock Market Prediction - Medical diagnosis - Anomaly detection - Fraud detection