10. Deep Learning

  1. Mohd Halim Mohd Noor, Ayokunle Olalekan Ige: A Survey on State-of-the-art Deep Learning Applications and Challenges, 2025. ↩

  2. Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola: Dive into Deep Learning, 2020. ↩

  3. Ian Goodfellow, Yoshua Bengio, Aaron Courville: Deep Learning, 2016. ↩

  4. Johannes Schneider, Michalis Vlachos: A Survey of Deep Learning: From Activations to Transformers, 2024. ↩

  5. Adit Deshpande is a comprehensive resource for learning about deep learning, covering various topics such as neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. It provides detailed explanations, code examples, and practical applications of deep learning concepts, making it suitable for both beginners and advanced learners. ↩

  6. François Fleuret offers a collection of deep learning resources, including lectures, tutorials, and research papers, aimed at helping learners understand and apply deep learning techniques effectively. ↩