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- AI
- Data
Introduction to Deep Learning
Deep learning is a subset of machine learning, utilizing artificial neural networks to model and understand complex patterns in data. It enables systems to improve their performance on tasks like image and speech recognition, natural language processing, and more, by learning from large amounts of data. This learning path gives you a comprehensive introduction into this topic so you can springboard into more advanced machine learning topics.
Content in this path
Introduction to Deep Learning
This learning path gives you a comprehensive introduction into this topic so you can springboard into more advanced machine learning topics.
Supplemental Learning
Enhance the knowledge you learned previously by watching this supplemental content.
- Neural networks
- Image recognition
- Speech recognition
- Recommendation systems
- Convolutional neural networks (CNNs)
- Recurrent neural networks (RNNs)
- Deep belief networks (DBNs)
- Learners interested in this path should have a foundational knowledge of machine learning and neural network basics. They should also be proficient in Python as well as experience with data processing and manipulation.
- Machine Learning
- Artificial Intelligence
- Natural Language Processing
- Neural Networks