๐ฎ Jupyter Notebook for flowers visual recognition
A Jupyter Notebook for flowers visual recognition, using Keras from Tensorflow.
Is a simple Jupyter Notebook to identify the flower types.
Is used some techniques to preprocessing the training data:
- Normalization layer to normalize RGB, with rescheduling layer.
- Data augmentation, creating new images examples fliping the originals.
The entire Notebook is written in Python 3.8
After run the entire model on Jupyter, call the function identify_flower passing some image url.
Just clone and open in Jupyter.
Python 3.8
Jupyter Lab 3.1.1
- TensorFlow - Open source platform for machine learning.
- Matplotlib - Comprehensive library for creating static, animated and interactive Python views.
- NumPy - Library for data manipulation.