Tensorflow

Introduction:

My experience at Mboalab organization during this internship period has been an amazing one. I have learnt alot regarding machine learning and some technologies. My favorite being Tensorflow, which after my research, I gathered the following regarding tensorflow terminology.

Body

Data is the most important factor in the success of machine learning projects. With TensorFlow, you can have multiple data tools to help you consolidate, clean and preprocess data at scale.

TensorFlow makes it easy for beginners and experts to create machine learning models for all platforms that is desktop, mobile, web, and cloud platforms.
Tensorflow can help you to:

• Prepare and load data for successful ML outcomes
• Load and preprocess an image dataset
• Investigate and visualize datasets
• Build and fine-tune models with the TensorFlow ecosystem
• Train a neural network to classify images
• Serve a model with TensorFlow Serving
• amongst others

Conclusion

To get started, you can find tutorials on tensorflow here

Tutorials  |  TensorFlow Core

Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.

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    tensorflow.org
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