Remove requirements.txt

Author: meherkasam-square

FAQ.md

@@ -14,9 +14,9 @@ This document is a set of quick questions and generally useful FAQs.
 
 4. Active the virtual environment `source practicaldl/bin/activate`
 
-5. Install all the requirements `pip install -r requirements.txt`
+5. When we want to exit, use the deactivate command `deactivate`
 
-6. When we want to exit, use the deactivate command `deactivate`
+6. Use pip to install the necessary packages (listed in each chapter's README.md) in the virtual environment only.
 
 Within the `virtualenv` environment, please install the following:
 

README.md

@@ -12,7 +12,6 @@ Table of contents
 * [Book Description](#book-description)
 * [Chapter List](#chapter-list)
 * [How to Use this repository](#how-to-use-this-repository)
-   * [Requirements](#requirements)
    * [Environment](#environment)
    * [Bug Reporting](#bug-reporting)
 * [About the Authors](#about-the-authors)
@@ -110,9 +109,6 @@ First off, welcome! We are happy that you have decided to use the book and the c
 
 Please follow [these](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb#scrollTo=WzIRIt9d2huC) instructions to load the GitHub repo on Google Colab. Keep in mind that you will need access to your own Google Drive as we will be using data from a local system.
 
-### Requirements
-Some chapters will require certian frameworks like TensorFlow, and Keras. Please see the [Installation](https://github.com/practicaldl/Practical-Deep-Learning-Book/blob/master/FAQ.md#installation) section in the [FAQ](https://github.com/practicaldl/Practical-Deep-Learning-Book/blob/master/FAQ.md) document.
-
 ### Environment
 We will use a `virtualenv` by the name of `practicaldl` throughout the book. The `requirements.txt` for this `virtualenv` are in the root directory. Help and instructions to install `virtualenv` are in the [Installation](https://github.com/practicaldl/Practical-Deep-Learning-Book/blob/master/FAQ.md#installation) section in the [FAQ](https://github.com/practicaldl/Practical-Deep-Learning-Book/blob/master/FAQ.md) document.
 

code/chapter-4/README.md

@@ -2,6 +2,12 @@
 
 Like Google Reverse Image Search, we explore how one can use embeddings — a contextual representation of an image to find similar images in under ten lines. And then the fun starts when we explore different strategies and algorithms to speed this up at scale, from thousands to several million images, and making them searchable in microseconds.
 
+## Setup
+
+Run the following command prior to running the scripts in this directory:
+
+`$ pip install annoy -U`
+
 ## Code
 
 Go through the code in the following order: