The addressed method integrates the deep framework with multiscale and hybrid observations, and therefore being good at exploring sophisticated natures in the reservoir inflow forecasting.
Inspired by the great success of deep network in image retrieval, speech recognition, and computer vision [ 13– 21], this paper proposes a deep model framework to deal with the above issues.
There exist two popular deep frameworks used for PReID, i.e., identification and triplet models.
They further proposed another deep learning framework based on the deep Boltzmann machine (DBM) and trained it using the 3D patches extracted from the multimodal data [143].
It is based on a deep learning framework with a large deep neural network (DNN) consisting of subnets designed from different perspectives.
The deep geological framework interpretation (up to 7000 m deep) was carried out according to background regional studies in Córdoba province.
Brain Team is one of Google's central units for research in deep learning and the home of the popular TensorFlow deep learning framework.
Instead, in this work we opted for the open-source Caffe deep learning framework as the main framework for training and testing deep neural networks configurations.
By employing deep learning ideas and graphics processing units (GPUs), a model for drogue detection using a Caffe deep learning framework with CNNs was designed to ensure the method's accuracy and real-time performance.
As Google continues to capture developers with its deep-learning framework TensorFlow, and lock them into its own ecosystem with hardware like the TPU geared toward deep learning, it'll continue to see a lot of momentum as deep learning tools proliferate across the entire technology industry.
