Deep learning is an advanced field of machine learning in which large amount of available data is used to develop AI system that even challenges human intelligence. Deep learning is behind many recent advances in AI, including Siri’s speech recognition, Facebook’s tag suggestions and self-driving cars. In this course, starting from Neural Networks, we will study and develop different deep learning architectures for Image, video and text data using TensorFlow as programming framework.
What Will You Learn?
- 1. Understanding and developing Deep Learning algorithms and architectures starting from Neural Networks to Convolutions NNs, Recurrent NNs, Auto Encoders and other techniques.
- 2. Learn Tensor Flow, one the important Deep Learning implementation frameworks in Python
- 3. Develop project portfolios in Data Science, Natural Language Processing (NLP) and Computer Vision domains during the course to enhance employability.