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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.
Pandas Data Analysis Basics Tutorial
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This tutorial demonstrates data analysis using example from two data sets using the Pandas Library. All the important operations are described in markdown cells.