Internet of Things (IoT) and Artificial Intelligence (AI) are most powerful technologies. Internet of Things (IoT) refers to be the billions of physical devices around the world that are now connected to the internet and each of them gathering and sharing data.
The neuromorphic computing platform is designed for computational neuroscience and machine learning. Neuromorphic systems attempt to imitate how the human nervous system operates in human body. In this field engineering tries to imitate the structure of biological sensing and information processing nervous systems. In other words, neuromorphic computing implements the aspects of biological neural networks as analogue or digital copies on electronic circuits.
Computer vision is the field of computer science that focuses on creating digital systems that can process, analyze, and make sense of visual data (images or videos) in the same way that humans do.
MATLAB is a closed-source software and proprietary commercial product. Python is an open-source programming language, meaning that it is entirely free. MATLAB is a robust computing environment for mathematical or technical computing operations involving the arrays, matrices, and linear algebra while, Python is a high-level language, general-purpose programming language designed for ease of use by human beings accomplishing all sorts of tasks.
Emotion AI is the sub-set of Artificial Intelligence that tries to understand human expressions and emotions, both verbal and non-verbal and Also known as Affective Computing. The technology aims to improve natural communication between human and machine to create an Artificial Intelligence that communicates in a more authentic way. If the Artificial Intelligence can gain emotional intelligence, maybe it can also replicate those emotions.
Reinforcement learning is a kind of Machine Learning system where the system is to be trained to do a particular job, learns on it’s own based on its previous experiences and outcomes while doing a similar kind of a job.
Machine learning and Artificial Intellegence have changed the world in the past couple of years with ground-breaking innovations. The emergence of various technological creations, deep learning technology has gained immense popularity in scientific computing, and its algorithms are widely used in various industries to solve complex problems. Different types of deep learning techniques are used by data scientists and other data professionals to perform specific tasks.
Prototyping is a crucial step in the development of product life cycle. While prototyping the product can results in the significant cost savings in the long run. Advancement in technologies like AI, Machine Learning, Deep Learning and Natural language processing have the potential to dramatically reduce the time companies spend in prototyping their products. By utilizing these technology, they can speed up processes at a lower cost and minimize errors. Using this combination of factors, product development is now faster and efficient.
Deep Learning is the sub-branch of Machine Learning(ML), offer tried and tested foundations for designing and training by simplifying Machine Learning Algorithms. Here, we look at some of the top 5 deep learning frameworks available for different programming language interfaces.