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In this video, Johanna discusses distinct categories of pretrained models and when you want to use one over the other. You will learn how to:
- use a model to perform a new task
- categories of pretrained models and how to choose the right one
- bring your models into MATLAB
Watch all videos in this series: https://youtube.com/playlist?l....ist=PLn8PRpmsu08oC0R
Read more about deep learning tasks on Johanna’s deep learning blog: https://bit.ly/3oTxWS6
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How to Convert MBR to GPT During Windows 10/8/7 Installation.
Sometimes, when you are trying to install Windows on your PC, "Windows cannot be installed to this disk. the selected disk has an MBR partition table. On EFI system, Windows can only be installed to GPT disks" error message pops up and interrupts the installing process. Please note the conversion process will format/clean the drive as shown in the tutorial.
In this case, you are required to convert MBR to GPT to get the problem fixed. But how can you make it during Windows installation?
This tutorial will apply for computers, laptops, desktops,and tablets running the Windows 10, Windows 8/8.1, Windows 7 operating systems.Works for all major computer manufactures (Dell, HP, Acer, Asus, Toshiba, Lenovo, Samsung).
An example and walkthrough of how to code a simple neural network in the Pytorch-framework. Explaining it step by step and building the basic architecture of the fully connected network.
Written blogpost if you prefer to read:
https://aladdinpersson.medium.....com/pytorch-neural-n
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
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PyTorch Playlist:
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