TensorFlow Tutorial 01 - Installation - Beginner Course
Key Takeaways
Installs TensorFlow 2 on Mac, Windows, and Linux using pip and enables GPU support
Original Description
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.
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Course material is available on GitHub:
https://github.com/patrickloeber/tensorflow-course
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-toolkit-archive
cuDNN SDK 7: https://developer.nvidia.com/cudnn
For Windows:
- Visual Studion 2017: https://www.techspot.com/downloads/6278-visual-studio.html
- C++ Redistributable: https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads
Anaconda Tutorial:
https://youtu.be/9nEh-OXVaNI
Timeline:
00:00 - Introduction
01:40 - Windows requirements
02:22 - GPU support
06:03 - Actual TensorFlow Installation
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#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,
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Chapters (4)
Introduction
1:40
Windows requirements
2:22
GPU support
6:03
Actual TensorFlow Installation
🎓
Tutor Explanation
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