Deep learning has achieved great success in many areas recently. It has attained state-of-the-art performance in applications ranging from image classification and speech recognition to time series forecasting. The key success factors of deep learning are – big volumes of data, flexible models and ever-growing computing power. With the increase in the number of parameters and training data, it is observed that the performance of deep learning can be improved dramatically.
Last updated on
Oct 21, 2020
8 min read