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This Notebook demonstrates modelling regression problems using Neural Networks with TensorFlow. Neural Networks can approximate non-linear relationships within dataset.They can be used for regression problems as well as classification problems.
TensorFlow Fundamentals
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This post demonstrate the fundamental concepts in TensorFlow. TensorFlow is an end-to-end open souce Machine learning framework developed by Google. It can be used to implement complex deep learning models using inbuilt methods. It also blends very nicely with NumPy so we can use the Numpy Arrays in TensorFlow. This is one of the first post in the Deep learning with TensorFlow series.
Logistic Regression with a Neural Network Mindset
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This notebook demonstrates, how to build a logistic regression classifier to recognize cats. This notebook will step you through how to do this with a Neural Network mindset, and will also hone your intuitions about deep learning.