A Researcher in Deep Learning, Convolutional and Deep Neural Networks - - 02/05/2018 13:32 EDT

I am writing a technical book for a company relating to deep neural networks and machine learning ..I am looking for an expert in deep learning neural network, machine learning and python, who is knowledgeable in triplets network, alexnet, ResNet architecture and python libaries, training the network and extracting key features and who also has solid background in SVM, image processing, face detection and recognition. The researcher must have extensive knowledge with Keras designing, custom loss functions and custom layers and implementation using Keras library with Theano or Tensorflow backend. - must be capable of training and fine tuning the network using triplet loss cnn (Alexnet) neural network, extracting features for further training - must be capable of not only replace and retrain the classifier on top of the ConvNet on the new dataset, but to also fine-tune the weights of the pretrained network by continuing the backpropagation. It is possible to fine-tune all the layers of the ConvNet, or it’s possible to keep some of the earlier layers fixed (due to overfitting concerns) and only fine-tune some higher-level portion of the network. - must be capable of building and compiling of python libraries, python in linux (ubuntu) - train and test models and improve the accuracy and reduce the loss of the classification results in imagenet models including (Alexnet), ResNet and etc..