Updating readme

Author: swaathi

README.md

@@ -1,2 +1,50 @@
 # tensorflow-resources
-Curated Tensorflow code resources to help you get started
+Curated Tensorflow code resources to help you get started with Deep Learning.
+
+## How is this repo structured?
+Each folder in this repo is named after a section of Deep Learning.
+
+For example,
+the [basics]() folder contains code to get you started with the syntax of Tensorflow (or TF). The [projects]() folder contains real world predictions and classifications using TF.
+
+Sometimes folders are also named with their respective algorithm names, like the [regression]() and [convolution_networks] folders.
+
+## How do I use this repo?
+Start out with the [hello_tensorflow.py] file, then checkout the [basics]()
+folder, work your way through [basic_networks](), [costs_and_gradients], and finally [regression]() and [classification](). By this time, you should be comfortable enough to work with other complicated resources in this repo.
+
+## What's in this repo?
+1. [hello_tensorflow.py]()
+Contains a simple beginner level introduction to Tensorflow.
+
+2. [basics]()
+Contains code resources to get familiar with the syntax of Tensorflow.
+
+3. [costs_and_gradients]()
+Contains,
+- [hand_made_descent.py]()
+- [plotting_cost.py]()
+
+4. [basic_networks]()
+Contains,
+- [basic_tf_network.py]()
+- [basic_tf_with_hidden_network.py]()
+
+5. [regression]()
+Contains,
+- [linear_regression.py]()
+- [logistic_regression.py]()
+
+6. [classification]()
+Contains,
+- [softmax_classification.py]
+
+7. [convolution_networks]()
+Contains,
+- [Cifar10]()
+- [MNIST]()
+
+8. [projects]()
+Contains,
+- [predicting_house_prices]()
+- [predicting_onset_of_diabetes]()