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Overview
This introductory course presents Tensor Flow as a powerful framework for building deep learning models. Learners study neural networks, model architecture, training processes, and deployment techniques. The curriculum includes hands-on coding exercises using Tensor Flowâs APIs to develop image recognition and natural language processing models. Ideal for developers and AI enthusiasts, the course builds foundational skills to create and deploy deep learning solutions effectively.
Syllabus
- Welcome to the Course
- Introduction to Machine Learning
- Your First Model - Fashion MNIST
- Introduction to CNNs
- Going Further With CNNs
- Transfer Learning
- Saving and Loading Models
- Time Series Forecasting
- NLP: Tokenization and Embeddings
- NLP: Recurrent Neural Networks
- Introduction to TensorFlow Lite
Instructor
Magnus Hyttsten
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