Deep learning has revolutionized object detection, enabling accurate identification and classification of objects in images and videos. This technical overview explores the key concepts and techniques behind deep learning for object detection, including convolutional neural networks (CNNs), region-based CNNs, and one-shot learning. We also discuss the challenges and future directions of this rapidly evolving field.
Here are summary of top Deep Learning algorithms for beginner in Data Science: Here is a list of resources for further reading on deep learning: These resources cover a wide range of topics in deep learning, including the fundamentals of neural networks, convolutional neural networks, recurrent neural networks, and advanced deep learning architectures, as well […]
Here are summary of top Machine Learning algorithms for beginner in Data Science: Here is a list of further readings for machine learning: Note: These books cover the basics of machine learning, as well as more advanced topics, and are suitable for individuals with varying levels of experience and knowledge.
Deep learning is a subset of machine learning (ML) where artificial neural networks (ANNs) algorithms inspired by the human brain can learn directly from large amounts of data. Deep learning utilizes a multi-layered hierarchical level of ANNs to perform the main process of machine learning (feature extraction and classification) and deliver high accuracy in tasks […]