zanz-byte Goto Github PK

classification_5_leaf_types

Classification of 5 different leaf types using transfer learning

deep_learning_model

# Train a Simple TensorFlow Lite for Microcontrollers model This notebook demonstrates the process of training a 2.5 kB model using TensorFlow and converting it for use with TensorFlow Lite for Microcontrollers. Deep learning networks learn to model patterns in underlying data. Here, we're going to train a network to model data generated by a [tanh] (https://en.wikipedia.org/wiki/Tanhc_function) and [arctan] (https://en.wikipedia.org/wiki/Inverse_trigonometric_functions) function. This will result in a model that can take a value, `x`, and predict its tanh and arctan, `y`. The model created in this notebook is modified from the [hello_world](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples/hello_world) example for [TensorFlow Lite for MicroControllers](https://www.tensorflow.org/lite/microcontrollers/overview). This code uses 4 scenarios of 2 function (tanh & arctan) in each model to analyze: Scenario 1: 1. Tanh function: 1 input with 8 neurons, 1 output 2. Arctan function: 1 input with 8 neurons, 1 output Scenario 2: 3. Tanh function: 1 input with 16 neurons, 1 output 4. Arctan function: 1 input with 16 neurons, 1 output Scenario 3: 5. Tanh function: 1 input with 8 neurons, 1 hidden layers with 8 neurons, 1 output 6. Arctan function: 1 input with 8 neurons, 1 hidden layers with 8 neurons, 1 output Scenario 4: 7. Tanh function: 1 input with 16 neurons, 1 hidden layer with 16 neurons, 1 output 8. Arctan function: 1 input with 16 neurons, 1 hidden layer with 16 neurons, 1 output <table class="tfo-notebook-buttons" align="left"> <td> <a target="_blank" href="https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/hello_world/train/train_hello_world_model.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" />Run in Google Colab</a> </td> <td> <a target="_blank" href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/hello_world/train/train_hello_world_model.ipynb"><img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" />View source on GitHub</a> </td> </table>

uas-slo

Fauzi Abdul Rohim 2101182035

uts-machinelearning