TensorFlow Tutorial 01 - Installation - Beginner Course
50.4 هزار بار بازدید -
4 سال پیش
-
New Tutorial series about TensorFlow
New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework!
Part 01: Installation
In this part I show you how to install TensorFlow on Mac, Windows, and Linux. And I also show you how to get GPU support.
~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~
✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtu... *
Get my Free NumPy Handbook:
https://www.python-engineer.com/numpy...
🚀🚀 Get exclusive content on Patreon: 🚀🚀
Patreon: patrickloeber
Course material is available on GitHub:
https://github.com/patrickloeber/tens...
Links:
https://www.tensorflow.org
https://www.tensorflow.org/install
https://www.tensorflow.org/install/gpu
CUDA Toolkit 10.1: https://developer.nvidia.com/cuda-too...
cuDNN SDK 7: https://developer.nvidia.com/cudnn
For Windows:
- Visual Studion 2017: https://www.techspot.com/downloads/62...
- C++ Redistributable: https://support.microsoft.com/en-us/h...
Anaconda Tutorial:
Anaconda Tutorial - Installation and ...
Timeline:
00:00 - Introduction
01:40 - Windows requirements
02:22 - GPU support
06:03 - Actual TensorFlow Installation
If you enjoyed this video, please subscribe to the channel!
🚀🚀 JOIN MY NEWSLETTER 🚀🚀
https://www.python-engineer.com/newsl...
You can find me here:
Website: https://www.python-engineer.com
Twitter: Twitter: patloeber
GitHub: https://github.com/patrickloeber
Music: https://www.bensound.com/
#Python
Course Parts:
01 TensorFlow Installation
02 TensorFlow Tensor Basics
03 TensorFlow Neural Net
04 TensorFlow Linear Regression
05 TensorFlow CNN (Convolutional Neural Nets)
06 TensorFlow Save & Load Models
07 TensorFlow Functional API
08 TensorFlow Multi-output Project
09 TensorFlow Transfer Learning
10 TensorFlow RNN / LSTM / GRU
11 TensorFlow NLP
TensorFlow 2, Keras, Deep Learning, TensorFlow Course, TensorFlow Beginner Course, TensorFlow Tutorial
----------------------------------------------------------------------------------------------------------
* This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏
Part 01: Installation
In this part I show you how to install TensorFlow on Mac, Windows, and Linux. And I also show you how to get GPU support.
~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~
✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtu... *
Get my Free NumPy Handbook:
https://www.python-engineer.com/numpy...
🚀🚀 Get exclusive content on Patreon: 🚀🚀
Patreon: patrickloeber
Course material is available on GitHub:
https://github.com/patrickloeber/tens...
Links:
https://www.tensorflow.org
https://www.tensorflow.org/install
https://www.tensorflow.org/install/gpu
CUDA Toolkit 10.1: https://developer.nvidia.com/cuda-too...
cuDNN SDK 7: https://developer.nvidia.com/cudnn
For Windows:
- Visual Studion 2017: https://www.techspot.com/downloads/62...
- C++ Redistributable: https://support.microsoft.com/en-us/h...
Anaconda Tutorial:
Anaconda Tutorial - Installation and ...
Timeline:
00:00 - Introduction
01:40 - Windows requirements
02:22 - GPU support
06:03 - Actual TensorFlow Installation
If you enjoyed this video, please subscribe to the channel!
🚀🚀 JOIN MY NEWSLETTER 🚀🚀
https://www.python-engineer.com/newsl...
You can find me here:
Website: https://www.python-engineer.com
Twitter: Twitter: patloeber
GitHub: https://github.com/patrickloeber
Music: https://www.bensound.com/
#Python
Course Parts:
01 TensorFlow Installation
02 TensorFlow Tensor Basics
03 TensorFlow Neural Net
04 TensorFlow Linear Regression
05 TensorFlow CNN (Convolutional Neural Nets)
06 TensorFlow Save & Load Models
07 TensorFlow Functional API
08 TensorFlow Multi-output Project
09 TensorFlow Transfer Learning
10 TensorFlow RNN / LSTM / GRU
11 TensorFlow NLP
TensorFlow 2, Keras, Deep Learning, TensorFlow Course, TensorFlow Beginner Course, TensorFlow Tutorial
----------------------------------------------------------------------------------------------------------
* This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏
4 سال پیش
در تاریخ 1399/07/05 منتشر شده
است.
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