What we can provide
The TensorWorks team can assist in the selection and implementation of machine learning models and data analysis algorithms, including but not limited to:
Identifying the appropriate technologies and techniques to utilise for achieving a given outcome and providing advice on their application and interpretation
Undertaking research and development to create new or enhanced models or algorithms for novel use cases
Deploying machine learning workloads to the cloud to perform training or inference at scale
Integrating machine learning models and data analysis algorithms with other technologies to create new workflows or software solutions
Several members of the TensorWorks team have undertaken their PhDs in machine learning and data science, and we have a proven track record of delivering machine learning projects for clients in both academia and industry. Previous projects have focused primarily on the use of convolutional neural networks for image classification and segmentation tasks, with a minor focus on recurrent neural network architectures. Our team have experience utilising and modifying existing machine learning models in addition to creating new models from scratch, in a variety of frameworks including Caffe, TensorFlow and Keras.
Although the majority of our machine learning projects for industry clients remain confidential, examples of our work in academia can be found in the following publications:
Ready to start something amazing?
Contact us today to discuss how we can provide the technology and expertise to make your vision a reality.