Machine Learning Front End Development TensorFLow React Networking
Abstract:
Machine learning applications have developed as quickly as the technologies that drive them in recent years. The need for developing quick machine learning architectures for solving ubiquitous problem has not been met by current programming libraries that facilitate the computations required for training and deploying models. TensorShow utilizes the powerful machine learning library and toolset, TensorFlow, to provide users with a graphical interface for developing and assessing machine learning architectures. TensorShow specifically builds Convolutional Neural Network (CNN) architectures by abstracting the construction of convolutional, pooling, and fully connected layers in a clean Graphical User Interface (GUI). Users can quickly build CNNs for classification tasks on numerous datasets, as well as assemble models that can be ported into Keras and TensorFlow for further development. The task of solving data-driven problems with Machine Learning is made easier with TensorShow’s easy to use user-interface.
