professor or Doctor in deep learning ( CNN, GAN, LSTM, ELM )

I have extensive experience in the domains of:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text analysis model and Reinforcement Learning.  Omnet++ and Sumo simulation,  Python/ Matlab  Asterisks PBX  NS3 simulation  Linux While working in the domains mentioned above, I have worked used frameworks like TensorFlow, Scikit-learn, PyTorch, STP and UDP, Caffe2, OpenCV, Keras, matplotlib, seaborn, fastai, Pycharm, NILM algorithms etc) I am also very familiar with classification and clustering algorithms such as SVM, FHMM, Combinatorial Optimization, HART 85 Algorithm, Maximum Likelihood Estimation, KNN, LDA. We'll make sure that your project is done in a perfect way and do our best until you were satisfied. I am confident I can provide you with top-notch materials that will fit your needs.