From https://makeoptim.com/en/deep-learning/tensorflow-gpu-on-win10

Intro

  • Win10
  • GTX 1050ti
  • TensorFlow 2.4.1

Software requirements

NVIDIA GPU driver

Go to https://www.nvidia.com/cn/download/index.aspx download and install the corresponding GPU driver.


From https://makeoptim.com/en/deep-learning/tensorflow-gpu-on-ubuntu

Intro

  • Ubuntu 18.04.5 LTS
  • GTX 1070
  • TensorFlow 2.4.1

Software requirements

Pre-installation Actions

GCC

$ gcc --version
Command 'gcc' not found, but can be installed with:
sudo apt install gcc
$ sudo apt install gcc
$ gcc --version
gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. …

Deep Learning has become the go-to method for solving many challenging problems. As we know, with enough training, a deep network can segment and identify the “key points” in the image.

If a very simple mechanism is large enough, it will have a magical effect.

Therefore, this well-functioning deep learning requires a lot of data. The more training data, the better the accuracy of the model.

But where do we get all this data from? Well-annotated data can be both expensive and time-consuming to acquire. Hiring people to manually collect images and label them is not efficient at all. …


Many apps need to use the marquee view. In UIKit we can use https://github.com/cbpowell/MarqueeLabel, but there is no ready-made library in SwiftUI.

Let’s make a powerful marquee together.

What kind of marquee is powerful?

  • It must support any content view (MarqueeLabel only supports text).
  • It can customize the animation duration, autoreverses, direction, etc.
  • It can be used in any combination.

Marquee animation principle

Catch Zeng

Deep Learning and DevOps enthusiast

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