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.
Next Bootcamps: 25-29 March, SF Bay area . Register here
Download Anaconda here: https://www.anaconda.com/download or download Miniconda here: https://docs.conda.io/en/latest/miniconda.html and then install it on your system.
git clone https://github.com/zerotodeepearning/deep_learning_image_similarity.git
cd deep_learning_image_similarity
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.
conda activate image_similarity
activate image_similarity
Check that your prompt changed to
(image_similarity) $
Now you can run jupyter notebook from within the environment.
jupyter notebook
and access it from your browser at: http://localhost:8888
You are good to go! Enjoy!
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
conda deactivate
deactivate
If you decide to completely delete the environment from your system you should use the following command:
conda remove -y -n image_similarity --all