jonkrohn / dltfpt Goto Github PK

Deep Learning with TensorFlow, Keras, and PyTorch

License: MIT License

Dockerfile 0.02% Shell 0.01% Jupyter Notebook 99.97% Batchfile 0.01%

dltfpt's Introduction

Hello! I'm Jon Krohn, Chief Data Scientist at the machine learning company Nebula, and I share my passion for my vocation by creating:

📚 Books — My first, Deep Learning Illustrated, was an instant #1 bestseller that was translated into seven languages. It is used for introductory courses on deep learning at universities around the globe.
🎙 Podcasts — I host SuperDataScience, a technical (but nevertheless lighthearted) program on machine learning applications. With four million downloads per year, it is the most popular show in the data science industry.
🎥 Videos — I present tutorials with accompanying open-source code, e.g., as part of my machine learning courses. My Udemy course has over 100,000 students and my YouTube channel was recognized with the 2021 Data Community Content Creator Award for the AI/ML category.
🕺 Lectures — As cataloged on the talks page of my website, I regularly teach classes online via O’Reilly as well as providing lectures in-person at world-leading universities, conferences, and companies.

Staying in Touch

Email newsletter: To stay up to date on my latest open-source code (key repos I've created are pinned below), free video courses, podcasts, public lectures, books, and upcoming live trainings, the one sure way to avoid missing anything is to sign up for my email newsletter on my homepage here.

You're also most welcome to engage with me on:

Keep on rockin’ it out there and hope to catch ya soon! 🎸

dltfpt's People

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chandsooran manavkumariit upalchowdhury yogds harshith246 pauldevos alhaol jmccar njwatkin pgnepal femtonelson sevmardi someshk97 crjaensch ghollah hatshex rhombhi vickeywahi pwacholski rajdeep-repo kambliketan intfrr rahulrajpl yabets deepenmi hifazibm canh-ng forkedrepositories reynierhdez ashishpatel26 nkreimold hpfister krprls cyuancheng ashwinimaurya reddy-s sourangshupal awgroeneveld sunilha livingthingsnow lthomiso vrahimi dineshgit bakhtiar-sadeghi pbbhat hakrosabir celibidache mridulvishal12 rpplayground billapeter khem2015 ssgarnaik troublem1 echo9k quedogf94 cldmello bootstrap nash0990 yogeshtak h0m3brew thamizhannal mbadamve ismail-30 jgowenjr kruppt albertoalmuinha n4thyp nikhiltiwari1 ash-arn kcbaskar rvlambda atse0612 wallyliu2 bagooba nguyen-cao lily48 buehren daveosociologist subburajs mrahman53 popkdodge geekyneuro vamosraghava lleboucher mahmoodmd sumit9359 subramanyarao yohannes-didana chr2 dyspop distiya cwickniss msunij anshuljdhingra prakulsinghal mittali315 shivi1982 machinelearning-spain machinelearning-tutorials ftth05

dltfpt's Issues

torchvision=0.4.0 causes docker image build fail

λ DLTFpT > sudo docker build -t dltfpt-stack .                                                                              git master
Password:
[+] Building 137.5s (7/14)
 => [internal] load build definition from Dockerfile                                                                              0.0s
 => => transferring dockerfile: 37B                                                                                               0.0s
 => [internal] load .dockerignore                                                                                                 0.0s
 => => transferring context: 2B                                                                                                   0.0s
 => [internal] load metadata for docker.io/jupyter/scipy-notebook:2ce7c06a61a1                                                    1.4s
 => [ 1/11] FROM docker.io/jupyter/scipy-notebook:2ce7c06a61a1@sha256:c2df5ef3c25702b7b8c54489ee9736a64ab431307b5416648226974e61  0.0s
 => CACHED [ 2/11] RUN pip install tensorflow==2.0.0                                                                              0.0s
 => CACHED [ 3/11] RUN pip install https://download.pytorch.org/whl/cpu/torch-1.0.1.post2-cp37-cp37m-linux_x86_64.whl             0.0s
 => ERROR [ 4/11] RUN pip install torchvision==0.4.0                                                                            135.9s
------
 > [ 4/11] RUN pip install torchvision==0.4.0:
#7 1.701 Collecting torchvision==0.4.0
#7 2.018   Downloading https://files.pythonhosted.org/packages/51/83/2d77d040e34bd8f70dcb4770f7eb7d0aa71e07738abf6831be863ade00db/torchvision-0.4.0-cp37-cp37m-manylinux1_x86_64.whl (8.8MB)
#7 3.976 Requirement already satisfied: pillow>=4.1.1 in /opt/conda/lib/python3.7/site-packages (from torchvision==0.4.0) (6.1.0)
#7 3.981 Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torchvision==0.4.0) (1.17.0)
#7 3.984 Requirement already satisfied: six in /opt/conda/lib/python3.7/site-packages (from torchvision==0.4.0) (1.12.0)
#7 3.987 Collecting torch==1.2.0 (from torchvision==0.4.0)
#7 4.090   Downloading https://files.pythonhosted.org/packages/05/65/5248be50c55ab7429dd5c11f5e2f9f5865606b80e854ca63139ad1a584f2/torch-1.2.0-cp37-cp37m-manylinux1_x86_64.whl (748.9MB)
#7 135.7 Killed
------
executor failed running [/bin/sh -c pip install torchvision==0.4.0]: exit code: 137

Tried changing it to torchvision=0.3.2, which makes for a successful docker image build, although I'm having issues launching the notebook. Continuing debugging.

MarkupSafe problem

I am getting the following message when starting the container. The prescribed fix is to downgrade the markupsafe version to 2.0.1, which will not work due to werkzeug 2.2.2 has requirement MarkupSafe>=2.1.1, but you'll have markupsafe 2.0.1 which is incompatible

  File "/opt/conda/bin/jupyter-notebook", line 7, in <module>
    from notebook.notebookapp import main
  File "/opt/conda/lib/python3.7/site-packages/notebook/notebookapp.py", line 41, in <module>
    from jinja2 import Environment, FileSystemLoader
  File "/opt/conda/lib/python3.7/site-packages/jinja2/__init__.py", line 33, in <module>
    from jinja2.environment import Environment, Template
  File "/opt/conda/lib/python3.7/site-packages/jinja2/environment.py", line 15, in <module>
    from jinja2 import nodes
  File "/opt/conda/lib/python3.7/site-packages/jinja2/nodes.py", line 19, in <module>
    from jinja2.utils import Markup
  File "/opt/conda/lib/python3.7/site-packages/jinja2/utils.py", line 647, in <module>
    from markupsafe import Markup, escape, soft_unicode
ImportError: cannot import name 'soft_unicode' from 'markupsafe' (/opt/conda/lib/python3.7/site-packages/markupsafe/__init__.py)

Host system is Ubuntu 20.04.5 LTS.

Unable to find image 'tensorflow-ll-stack:latest' locally

I have problem with Unable to find image 'tensorflow-ll-stack:latest' locally.
This problem comes up when Im excecuting

docker run -v c:/full/path/to/the/clone:/home/jovyan/work -it --rm -p 8888:8888 tensorflow-ll-stack

pull image got an issue

When I was running: docker run -v $(pwd):/home/jovyan/work -it --rm -p 8888:8888 dltfpt-stack
I got an error:

Unable to find image 'dltfpt-stack:latest' locally
docker: Error response from daemon: pull access denied for dltfpt-stack, repository does not exist or may require 'docker login': denied: requested access to the resource is denied.

I previously login to docker using "docker login", but still got the error

jonkrohn / dltfpt Goto Github PK

dltfpt's Introduction

Staying in Touch

dltfpt's People

Contributors

Stargazers

Watchers

Forkers

dltfpt's Issues

torchvision=0.4.0 causes docker image build fail

MarkupSafe problem

Unable to find image 'tensorflow-ll-stack:latest' locally

pull image got an issue

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