Completed
) Outputs (predictions)
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Classroom Contents
Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
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- 1 ) Introduction
- 2 ) Colab intro (importing wine dataset)
- 3 ) What is machine learning?
- 4 ) Features (inputs)
- 5 ) Outputs (predictions)
- 6 ) Anatomy of a dataset
- 7 ) Assessing performance
- 8 ) Neural nets
- 9 ) Tensorflow
- 10 ) Colab (feedforward network using diabetes dataset)
- 11 ) Recurrent neural networks
- 12 ) Colab (text classification networks using wine dataset)
