tf-pt readme lab1

Author: avaamini

lab1/README.md

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 ![alt text](https://github.com/aamini/introtodeeplearning/raw/master/lab1/img/music_waveform.png)
 ## Part 1: Intro to Deep Learning in Python -- TensorFlow and PyTorch
-TensorFlow and PyTorch are software libraries used in machine learning. Here we'll learn how computations are represented and how to define simple neural networks in TensorFlow and PyTorch.
+TensorFlow ("TF") and PyTorch ("PT") are software libraries used in machine learning. Here we'll learn how computations are represented and how to define simple neural networks in TensorFlow and PyTorch. The TensorFlow labs will be prefixed by `TF`; PyTorch labs will be prefixed by `PT`.
 
 TensorFlow uses a high-level API called [Keras](https://www.tensorflow.org/guide/keras) that provides a powerful, intuitive framework for building and training deep learning models. In the TensorFlow Intro (`TF_Part1_Intro`) you will learn the basics of computations in TensorFlow, the Keras API, and TensorFlow 2.0's imperative execution style.