DEEP LEARNING - R25 Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain . Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions. Course Objectives: 1. To understand the complexity of Deep Learning algorithms and their limitations 2. To be capable of performing experiments in Deep Learning using real-world data. Course Outcomes: 1. Implement deep learning algorithms, understand neural networks and traverse the layers of data 2. Learn topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces 3. Understand applications of Deep Learning to Computer Vision 4. Understand and analyze Applications of Deep Learning to NLP SYLLABUS COPY 1. THEORY SYLLABUS- CLICK HERE 2. LAB SYLLABUS- CLICK HERE __________________________...