Custom TensorFlow Model for Image Classification App | #1

Опубликовано: 11 Октябрь 2024
на канале: IJ Apps
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Learn how to code your own neural network in Python, then deploy it in an Android Image Classification App using TensorFlow Lite! Whether you're NEW or EXPERIENCED with Python & TensorFlow, I'll explain every step of the way, including how the neural network actually learns.
We’ll be coding our own Convolutional Neural Network to recognize images of apples, oranges, and bananas.

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Tutorial 2 (Deploying Custom Neural Network in Android App):    • Image Classification App | Deploy Ten...  

Bitbucket dataset download:​​ !wget https://bitbucket.org/ishaanjav/code-...
Link to complete Python notebook code: https://colab.research.google.com/dri...

***TensorFlow Lite Course:    • Machine Learning with TensorFlow Lite  

Learn how to make an image classification app with TensorFlow & Teachable Machine:    • Image Classification App  |  Teachabl...  
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*IJ Apps GitHub Page: https://github.com/IJ-Apps
*Personal GitHub Page with Projects: https://github.com/ishaanjav

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0:00 Demo
0:25 Preparing the data
7:20 Displaying the dataset
10:00 Coding the neural network
15:05 Training the neural network
17:52 Testing out the neural network
19:55 Tutorial #2 & Conclusion