Check our Zero To Deep Learning 5 day bootcamp. New dates are out!
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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.
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