https://github.com/sahil210695/tensorflow-fundamentals
Fundamentals of TensorFlow library which will cover building the computational graph model and visualizing that graph in tensorboard.
https://github.com/sahil210695/tensorflow-fundamentals
deep-learning logistic-regression neural-networks nlp python t-sne tensorboard tensorflow word2vec
Last synced: about 2 months ago
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Fundamentals of TensorFlow library which will cover building the computational graph model and visualizing that graph in tensorboard.
- Host: GitHub
- URL: https://github.com/sahil210695/tensorflow-fundamentals
- Owner: sahil210695
- Created: 2018-11-05T12:15:23.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-11-05T12:30:25.000Z (over 7 years ago)
- Last Synced: 2025-01-21T11:45:36.338Z (over 1 year ago)
- Topics: deep-learning, logistic-regression, neural-networks, nlp, python, t-sne, tensorboard, tensorflow, word2vec
- Language: Jupyter Notebook
- Homepage:
- Size: 745 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Fundamentals of TensorFlow
Fundamentals of TensorFlow library which will cover building the computational graph model and visualizing that graph in tensorboard.
## Table of Contents
1. Basic
2. Normal Loading
3. Lazy Loading
4. Complete Program
5. Linear Regression in Tensorflow
6. Logistic Regression in Tensorflow
7. Logistic Regression in Tensorflow (Improved Accuracy)
8. Word2Vec
9. Word2Vec Visualize
... More coming soon