404dev404 / 5-days-bootcamp-zerotodl

Zero To Deep Learning 5 day bootcamp

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.

Participants come to accelerate and consolidate their ML and DL practical skills, as online/remote courses can only take practical skills so far. The Bootcamp provides dedicated time to learn with a teacher to achieve the next level of proficiency. This repo will help you with self-directed learning and show you what we cover in the Bootcamp, with the value of the Bootcamp coming from actually doing the labs in a supported environment.

Next Bootcamps: 3-7 June, San Francisco. Register here

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/ztdl-5-day-bootcamp.git

Change to course folder

cd ztdl-5-day-bootcamp

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 Tensorflow does not support Python 3.7 yet.

Activate the environment (Mac/Linux)

conda activate ztdlbootcamp

Activate the environment (Windows)

activate ztdlbootcamp

Check that your prompt changed to

(ztdlbootcamp) $

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

Downloading Sports images

Some labs require the sports images dataset, that should be located in ./data/sports/. The images can be downloaded using the download_sport.py script.

cd data/sports
python download_sport.py

Run this script a couple of times if you get any errors from aws.

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 ztdlbootcamp --all