python training, staging for deep/machine learning course
1️⃣ Lesson 1 2️⃣ Lesson 2 3️⃣ Lesson 3 4️⃣ Lesson 4 5️⃣ lesson 5
This course is the basic deep learning course that follows closely on Jeremy Howard's fantasic /free /life-changing fast.ai course. This course created for coderbunker deep learning talk sessions.
The most of notebooks are just trails we left behind passing on their awesomeness.
Checklist before we start and a reading list
- Fast KMeans by batch with GPU, how to train a 60 minutes kmeans in 3 seconds, with example here
- A PyTorch training wrapper to simplify tracking
Follow the installation instructions
Run the jupyter notebook on anaconda3 environment
Usual pre-requisites for the learning.
python 3.6
numpy == '1.14.3'
pandas == '0.23.0'
tensorflow == '1.8.0'
keras == '2.2.0'
Other versions of above library will probably work.
Assuming your anaconda3 is at ~/anaconda3/
If you don't have any of these, try the following format in the command line:
~/anaconda3/bin/pip install keras==2.2.0
If you are on Mac:
~/anaconda3/bin/pip install torch torchvision
To install PyTorch. For other system, You'll have to visit their homepage to copy/paste the right command to install.