https://github.com/sumit-kushwah/tf-learn

My Tensorflow Learning
https://github.com/sumit-kushwah/tf-learn

tensorflow tensorflow-tutorials tensorflow2

Last synced: 14 days ago
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My Tensorflow Learning

• Host: GitHub
• URL: https://github.com/sumit-kushwah/tf-learn
• Owner: sumit-kushwah
• Created: 2023-11-23T13:14:37.000Z (12 months ago)
• Default Branch: master
• Last Pushed: 2023-11-25T06:03:02.000Z (12 months ago)
• Last Synced: 2024-10-10T08:40:51.215Z (about 1 month ago)
• Topics: tensorflow, tensorflow-tutorials, tensorflow2
• Language: Jupyter Notebook
• Homepage: https://www.youtube.com/watch?v=tPYj3fFJGjk
• Size: 44.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Tensorflow learning

Course Info: [check here](course-link.txt)

### Environment Setup

1. [Install Conda](https://docs.anaconda.com/anaconda/install/) from the official Anaconda distribution page.

2. Then run `conda env create -f conda.yaml` to create a new conda environment from the `conda.yaml` file.

3. Activate conda environment `conda activate tensorflow-learning`

### Instruction to serve tensorflow model

1. Install `tensorflow_model_server` command using following commands

```

echo "deb [arch=amd64] http://storage.googleapis.com/tensorflow-serving-apt stable tensorflow-model-server tensorflow-model-server-universal" | sudo tee /etc/apt/sources.list.d/tensorflow-serving.list && \

curl https://storage.googleapis.com/tensorflow-serving-apt/tensorflow-serving.release.pub.gpg | sudo apt-key add -

sudo apt-get update && sudo apt-get install tensorflow-model-server

```

2. Then serve your model using below command

`tensorflow_model_server --port=8501 --rest_api_port=8000 --model_name=model_name --model_base_path=exported_models_dir

`