Introduction to Deep Learning
Introduction to Deep Learning
This is introductory course on deep learning methods with applications to computer vision, natural language processing (nlp), biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), and we’ll try to explain everything else along the way! Experience in Python is helpful but not necessary.
Duration: Not defined
Level: Undergraduate
Certification: No
Cost: Free
Language: English
Type: Self-Paced
Please note: these courses are provided by external sources, links are not actively managed or regularly updated, content might be moved or unavailable.
