Researchers at MIT have made significant progress in developing more efficient deep learning neural networks, with applications in computer vision and natural language processing.
This article provides an overview of the current state of deep learning neural networks, including recent breakthroughs and future directions for research and development.
The DeepMind team provides a monthly update on their progress in deep learning research, including new discoveries and innovations in the field.
The National Science Foundation (NSF) provides an update on the progress of neural network research, including funding opportunities and initiatives for researchers and developers.
This online course provides a comprehensive introduction to deep learning neural networks, including the latest techniques and tools for building and training models.
Industry experts share their thoughts on the future of deep learning, including potential applications and challenges in areas such as healthcare and finance.
The annual NeurIPS conference brings together researchers and practitioners to share the latest advances in deep learning neural networks, including papers, tutorials, and workshops.
This video series provides an introduction to deep learning neural networks, including explanations of key concepts and techniques, as well as examples and case studies.