The meaning of DEEP STATE is an alleged secret network of especially nonelected government officials and sometimes private entities (as in the financial services and defense industries) operating extralegally to influence and enact government policy. How
The meaning of DEEP SEDATION is an induced state of sedation characterized by depressed consciousness such that the patient is unable to continuously and independently maintain a patent airway and experiences a partial loss of protective reflexes and abi
Learn what deep learning in ML & its subset inspired by the human brain. Understand its definition, the working, and its applications in the real world.
as well as applications with many output categories. However, it's a less common approach, as it requires inordinate amounts of data and computational resources, causing training to
It is also worth remarking that the SDE system (12) and hence the DGP is a well-defined Itô diffusion, provided that the coefficients are regular enough (Definition 7.1.1, Øksendal2003). This feature is valuable, as being an Itô diffusion offers many fruitful properties that we can ...
Learning the parameters of the deep network {Wk}k=1k from N training examples is performed as an optimization problem. In a classification setting, each row of X indicates a data point in ℝD and each row of Y indicates the membership of each data point to one out of C classes. In ...
Definition Chapters and Articles Related Terms Recommended Publications Featured Authors Chapters and Articles You might find these chapters and articles relevant to this topic. Review article Application placement in Fog computing with AI approach: Taxonomy and a state of the art survey Deep reinforcement...
Definition of “bag” and “instance” In MIL, the dataset consists of a set of “bags” with labels, wherein each “bag” contains several “instances” without labels37. With the aim of dividing the whole video in the Main Branch into small clips with durations of 9.6 s, which wa...
Recognition of objects from sensory stimuli is essential for survival. To that end, sensory networks in the brain must form object representations invariant to stimulus changes, such as size, orientation and context. Although Hebbian plasticity is known
Sync overview Using sync Sync-enabled feature services Asynchronous operations Sync and attachments Rollback On Failure and Sync Model Sync workflow examples Sync compatibility notes Error handling with sync Feature Service (Hosted - Admin) Hosted Feature Service Add To Definition (Feature Layer) Ad...