Yes they will. It is written in the firs message in this thread
Recordings of the lectures will be available immediately after the lesson ends - although we would ask that you really try to join live if at all possible, otherwise you won’t be able to interact during the class.
@rachel@jeremy if i’m writing a blog post on this, Can i use the notebook link i.e the fast ai v3 repo or should i just individually use the code and respective docs?
I am looking into the installation instructions for Google Compute Platform. Specifically, I followed the link in “To install on MacOS, follow the instructions detailed in points 1 to 4 here” under “Step 2: Install Google CLI” on Mac.
The first step under “Before you Begin” says to make sure python 2.7 is installed on your system, but there is also a note saying " Note: As of Cloud SDK version 206.0.0, the gcloud CLI has experimental support for running using a Python 3.4+ interpreter (run gcloud topic startup for exclusions and more information on configuring your Python interpreter). All other Cloud SDK tools still require a Python 2.7 interpreter."
I am using python 3.6. In light of the note will I be okay to use Google Compute Platform anyway?
Apologies for already posting this question once in “Lesson 1: Class Discussion and Resources,” but I learned that this is the more appropriate thread.
FAIR released faster R-CNN and Mask R-CNN for pytorch 1.0, if anyone is interested. Good place to take a look until we go over it in the course (I’d guess part 2).