Rahul Pandit.
Published in : 2022-03-05
Is it possible to connect jupyter notebook as machine learning model (Backend) with my android studio project? Is so, how can I do that?
Shilpa Date : 2022-03-05
Best answers
10
Best answers
10
Yes, definitely it is possible,
Here are some steps:
Step 1: Import required libraries
import tensorflow as tf
import numpy as np
from tensorflow import keras,lite
Step 2: Create a dataset.
x = np.array([-1.0,0.0,1.0,2.0,3.0,4.0],dtype=float)
y = np.array([-3.0,-1.0,1.0,3.0,5.0,7.0],dtype=float)
Step 3: Train a model using Keras
model = keras.Sequential([keras.layers.Dense(units=1,input_shape=[1]),keras.layers.Dense(units=1,input_shape=[1])])
model.compile(optimizer=’sgd’,loss=’mean_squared_error’)
Refer to this thread for further information.
If you want to deploy your ML model for Android Devices, read this thread. Hope it will help!
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