The Effective Use of Deep Learning Network with Software Framework for Medical Healthcare

We live in an era full of unprecedented opportunities, and deep learning technology can help us achieve new breakthroughs. Deep learning plays a pivotal role in the exploration of exponents, the development of new drugs, the diagnosis of diseases, and the detection of subatomic particles. It can fundamentally enhance our understanding of biology (including genomics, proteomics, metabolomics, immunohisics, etc.).This era of our lives is also facing severe challenges. Climate change threatens food production, and may even one day explode because of limited resources. The challenge of environmental change will also be further exacerbated by the growing population, with a global population expected to reach 9 billion by 2050. Coupled with the ever-evolving ability of biological neural networks to process visual information, vision provides animals with a map of their surroundings, improving their ability to perceive the outside world. Today, the combination of artificial eye cameras and neural networks that can handle the visual information captured by these artificial eyes detonates the explosion of data-driven artificial intelligence applications. Just as vision plays a key role in the evolution of Earth's life, deep learning and neural networks will enhance the capabilities of robots. The ability of robots to understand the surrounding environment will become stronger and stronger, and they can make decisions on their own, collaborate with humans, and enhance human capabilities.