https://github.com/sloppycoder/coursera_tf_in_practice
Notebook for Coursera Tensorflow in Practices courses
https://github.com/sloppycoder/coursera_tf_in_practice
deep-learning deep-neural-networks python tensorflow
Last synced: 2 months ago
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Notebook for Coursera Tensorflow in Practices courses
- Host: GitHub
- URL: https://github.com/sloppycoder/coursera_tf_in_practice
- Owner: sloppycoder
- Created: 2020-02-03T12:29:08.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-02-07T16:34:33.000Z (over 6 years ago)
- Last Synced: 2025-01-11T08:14:04.066Z (over 1 year ago)
- Topics: deep-learning, deep-neural-networks, python, tensorflow
- Language: Jupyter Notebook
- Size: 6.75 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Notebooks for Coursera Tensorflow in Practice Specialization
This repo contains jupyter notebooks for excercises in the Coursea [Tensorflow in Practice specialization](https://www.coursera.org/specializations/tensorflow-in-practice) by [deeplearning.ai](https://www.deeplearning.ai/), which consists of 4 courses:
1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
2. Convolutional Neural Networks in TensorFlow
3. Natural Language Processing in TensorFlow
4. Sequences, Time Series and Prediction
The execution envioronment:
- MSI GF63 laptop with nVidia 1050Ti GPU
- Ubuntu 18.04 LTS
- Stock python 3.6.9
- tensorflow 2.1.0
- nVidia Linux driver 440.48.02
- CUDA 10.1.243
- libcudnn 7.6.5
See [this gist](https://gist.github.com/sloppycoder/77fe374b1c97f86cdf2c097aceb9fe47) for steps for install nVidia driver and libraries.