Deep learning mimics the human brain, utilizing systems that learn to distinguish objects and execute intricate tasks with improved precision without human intervention. Deep learning is a subgroup of machine learning where neural networks-algorithms are inspired by the human brain which learns from substantial amounts of data. Deep learning algorithms repeatedly perform tasks and incrementally improve the outcome through deep layers that enable progressive learning.
Deep Learning practices have made amazing achievements in many industries such as natural language processing (NLP), autonomous driving, and advanced image analysis. Deep learning has impacted the life sciences industry to enhance research, drug discovery, health prognosis and disease symptoms. The transportation industry employs deep learning to assist autonomous vehicles adapt to fluctuating conditions and speed response. The accomplishment is due to a mixture of enhanced algorithms, access to significant datasets and expanded computational power.
Sisco can develop an architecture for deep learning that provides a complete, certified, and supported solution on the cloud. We methodically select proven technologies across all facets of deep learning, processing capabilities, memory, storage, and cloud technologies as well as the software environment.
Adopting cloud services for deep learning assigns large datasets to be accessed and allocated with ease to train algorithms to scale with lower operating cost using the GPU processor. The advantages of deep learning on the cloud enables you to design, develop and train deep learning applications faster.
Models can then be deployed to manage substantial amounts of data and deliver meaningful results.
Various deep learning frameworks and technologies can be run on the cloud for web, mobile or connected devices allowing you to use deep the best learning algorithms for your use case.
Our cloud services provide a comprehensive array of resources to deploy practically unlimited resources to engage deep learning a variety of models.