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PyTorch Pocket Reference: Building and Deploying Deep Learning Models Paperback – Import, 21 May 2021 · Kindle Edition ₹807.50 Read with Our Free App · Paperback

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TAGS: PyTorch, Pocket, Reference, Building, and, Deploying, Deep, Learning, Models
Pytorch Pocket Reference Building And Deploying Deep Learning Models Pdf

PyTorch Pocket Reference: Building and Deploying Deep Learning Models Book Reviews from YouTube

How to train a deep learning model using docker?
1-Deploying an ML model on Android using TorchScript: Loading and Saving model from PyTorch Hub
Book Review: Machine Learning with PyTorch and Scikit-Learn
Building Models with PyTorch
in the dockerfile cant we use anything else other than ubuntu
Did you save the model on your local system or in the docker container? Because you did not run the model completely at the end, and you showed the weights from local system, right? Or is it because Volume, that it mapped from docker to local system.
Cool stuff..Keep sharing.👍🏻
fantastic video, thank you! I was struggling with this stuff (I'm very new to Docker and I'm trying to train a robot using Deep Reinforcement Learning :$) and then I found you :D you saved me, mate!
Thank you for your great vedio. I have a anaconda env. including pytorch. Also, I have a python project using this conda env. How can I decorize these in a docker image and let it to train model like things you showed in this vedio? Thank you in advanced.
Geat video, it is easy to get started after watching your video.
I like your video, however, why we need to train the model in the docker while we can do it directly from the host machine?
Why did we use --ipc=host while running docker?
Is docker compose not faster than only docker to setup all?
@Abhishek why not use pip3 freeze> requirements.txt to create the requirements file instead of writing each one individually....... is there something am missing?
Ordered your book. Looking forward to reading it! Thanks you for your videos!
Can you do a video tutorial on Scientific Text Summarizer using BERT or GPT?
Nice video, a short one giving a good view of things.
@Abhishek great step running it all inside the browser, we learnt from my presentation, as there was a hiccup trying to project the terminal console. Thanks for sharing this tweak!
I'll try this now with the new GPU support for Docker rolling in now for the WSL2 (4.19.121 kernel). It was disheartening to build a openpose image only to find that I can't use the GPU on my machine some months back. Had to step back and work with a CPU-only openpose image instead.
Hi Abhishek, Image size is too big can we use multistage build to reduce its size?
How can I use Jupyter notebook with Docker?
Oh i got the book via the Amazon kindle and it's a comprehensive guide! Shot & straight to the point!
I like how you walk us through the errors because most YouTube videos are so perfect and when we try to implement we come across the behind the scenes errors. That was a crack!
Hey Abhishek nicely explained but could you again why the training run out of memory?
It doesnot work on custom deeplab models
can we use .pth pretrained format?
👌👌💘
🔥❤️👍wow
Noice
Here's the purchase link: https://amzn.to/3J4qpHr Quick note: the e-book that I'm showing is in color, while the print book is black and white. The charts are still readable, though, and most color shading is still clear.
Hi man, glad to see you again. Maybe you know some good certifications for DevOps/SRE as it for example for network sysadmins like Cisco and others? Please make more videos about book Review about python, golang, terraform and others themes it will be very interesting.
Looking forward to picking up this book for my interview at Cyberdyne Systems.
4:47 - Is when you understand that Machine Learning is not for you. So, thank you for the video.
Thank you for this review! It’s just what I needed. Have been searching for a while on a good primer on ML for a beginner.
This is awesome. I was checking out the PyTorch org tutorials and they are fun. I think this book review is very helpful. Thanks
Thank you Dave for review. I would be interrested in seeing some videos if you have a real life problem where ML is applicable seeing some piece of code of how to solve that problem. I am in early stages of learning Python.
Can you make a updated XMPP server video please? XMPP is more popular then ever and you make really good in depth tutorials.
more ML videos plssss
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Thank you!
What went wrong with tensors on 11:55? :)
The content is awesome, easy to understand, involving a lot of inspiration.
Thanks For re uploading it in 1080p, the content is awesome

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