5. Use of Edge Intelligence A technique where deep learning models are deployed on edge devices like smartphones, IoT devices, & autonomous vehicles. It is used in real-time image & speech recognition apps.
6. Deep Diving Using Convolutional Neural Networks CNNs have revolutionized computer vision by automatically learning & extracting features from images. CNNs are used in image classification, object detection, & face recognition.
7. High-Performance NLP modelsThese are deep learning models that are designed to process & understand human language. They are used in language translation, sentiment analysis, and chatbot applications.
8. Multimodal Multitasking Transformers These are Deep learning models that can process multiple modalities of data such as text, image, and speech. Used to solve problems in autonomous driving, healthcare, & more.