DevOpsThinh/AI-TensorFlow-2

Understanding Machine Learning and Unleash the Power of TensorFlow by Training Classification models for Image Recognition.

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Introduction

"Trainging Classification Models for Image Recognition with TensorFlow toward Clothing"
This is a learning material from software developer Vasco Correia Veloso

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#1: Visualizing the CO2 emissions training dataset

#2: Some images taken from the Fashion-MNIST dataset

#3: Training results (a Convolutional Neural Network-CNN) of the MNIST network on the Fashion-MINIST dataset

#4: The realistic clothing image used to try the Fashion-MNIST models

Used Software Info:

• Python 3.7.9
• Pipenv (Pip)
• TensorFlow 2 (2.5.1)
• pandas, matplotlib, numpy, seaborn, base64hex
• Visual Studio Code v1.67.1

References

• TensorFlow: https://www.tensorflow.org/
• Pandas: https://pandas.pydata.org/
• Matplotlib: https://matplotlib.org/
• Numpy: https://numpy.org/
• Seaborn: https://seaborn.pydata.org/