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Image Similarity Search with Deep Learning

This repo is a large sample of the coursework in the Zero to Deep Learning Bootcamp. The Bootcamp is a hands-on and immersive course to learn Machine Learning & Deep Learning fast with Python, Pandas, Matplotlib, Scikit-Learn, Keras and Tensorflow.

Quick start guide

Download and install Anaconda or Miniconda Python 3

Download Anaconda or Miniconda and then install it on your system.

Open a terminal

Clone this repository on your local computer

git clone https://github.com/zerotodeepearning/deep_learning_image_similarity.git

Change to course folder

cd deep_learning_image_similarity

Create Conda environment

We provide an environment configuration file with all the required dependencies.

conda env create

wait for the environment to create, this may take a few minutes. Note that this environment is based on Python 3.6 because Anaconda has some trouble with Tensorflow on Python 3.7.

Activate the environment (Mac/Linux)

conda activate image_similarity

Activate the environment (Windows)

activate image_similarity

Check that your prompt changed to

(image_similarity) $

Now you can run jupyter notebook from within the environment.

Launch Jupyter Notebook

jupyter notebook

and access it from your browser at: http://localhost:8888

You are good to go! Enjoy!

Troubleshooting

Updating Conda

If you have installed Anaconda a long time ago, you may want to update it by running:

conda update conda

and then:

conda update anaconda

Deactivating the environment (Mac/Linux)

conda deactivate

Deactivating the environment (Windows)

deactivate

Deleting the environment

If you decide to completely delete the environment from your system you should use the following command:

conda remove -y -n image_similarity --all