Encoder-decoder models, attention and Transformers This course is a part of “Deep Learning for NLP” Series. In this course, I will introduce concepts like Encoder-decoder attention models, ELMo, GLUE, Transformers, GPT and BERT. These concepts form the base…

In this course, you will learn about Convolution Neural Network, Various CNN Architectures, Object Detection and HoG Neural Networks is the general term that is used for brain like connections. Convolutional Neural Network are the Networks that are specially…

Satellite Image processing using Deep Learning Neural Network Deep Learning is a subset of Machine Learning that uses mathematical functions to map the input to the output. These functions can extract non-redundant information or patterns from the data, which…