machine-learning-engineering-for-production-public
machine-learning-engineering-for-production-public copied to clipboard
Public repo for DeepLearning.AI MLEP Specialization
Hi In order to make the deployment work on K8s by Docker Desktop (Mac) I had to modify the deployment manifest: ``` volumes: - name: tf-serving-volume hostPath: #path: /var/tmp/saved_model_half_plus_two_cpu path:...
This resource contains information on how to install TF locally for Mac M1 users: https://github.com/apple/tensorflow_macos/issues/153
I had to change the way i ran the docker image since I used windows: docker run -it --rm -p 8888:8888 -p 8000:8000 --mount type=bind,source="%cd%",target=/home/jovyan/work deeplearningai/mlepc1w1-ugl:jupyternb
Hi, Although `conda install -c conda-forge opencv===4.5.3` seems to run, on testing the package by importing, the following error is thrown: > (dlai) Indrayudds-MacBook-Air:~ indro$ python -c "import cv2; print(cv2.__version__)"...
- Couple of typos fixed - Readme of C4_W3_Lab_4_Github_Actions aligned with [actual workflow file](https://github.com/https-deeplearning-ai/machine-learning-engineering-for-production-public/blob/main/.github/workflows/course4-week3-lab.yml) contents
This PR change the extract path for the images in order to work with subsequent work.
Please remove the period at the end of Pillow==8.4.0. in requirements.txt file in week 1 ungraded lab.
It will be easier for beginners who want to learn data science to get started with anaconda. I added a link to it and also stated who should install it.