A Beginners Guide to Deep Learning – #WeCoCreate – Medium - Top Big Data News

In a deep network, there are many layers between the input and output (and the layers are not made of neurons but it can help to think of it that way), allowing the algorithm to use multiple processing layers, composed of multiple linear and non-linear Learning has revolutionized the machine… These methods have dramaticallyimproved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. But, the ancient term "Deep Learning" was first introduced to Machine Learning by Dechter (1986)[10], and to Artificial Neural Networks (NNs) by Aizenberg et al (2000)[11]. It was further popularized by the development of Convolutional Networks Architecture by Alex Krizhevsky named'AlexNet' that won the competition of ImageNet in 2012 by defeating all the image processing methods and creating a way for deep learning architectures to be used in Image Processing.