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tensorflow 2.0 linear regression example

Hee-Su Kim answered on February 13, 2023 Popularity 8/10 Helpfulness 1/10

answer tensorflow 2.0 linear regression example

related linear regression in tensorflow

tensorflow 2.0 linear regression example

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# 텐서플로우, 넘파이 라이브러리 임포트

import tensorflow as tf
import numpy as np
rng = np.random         # 난수 생성을 위한 변수 준비

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Source: bioinformaticsandme.tistory.com

Tags: linear-regression tensorflow whatever

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Contributed on Feb 13 2023

Hee-Su Kim

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linear regression in tensorflow

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import tensorflow as tf
# Define the intercept and slope
intercept = tf.Variable(0.1, np.float32) 
slope = tf.Variable(0.1, np.float32)
# Define a linear regression model
def linear_regression(intercept, slope, features = X):
    return intercept + features*slope # y' = m*X + c
# Compute the predicted values and loss
def loss_function(intercept, slope, targets, features): 
    predictions = linear_regression(intercept, slope)  # y' = m*X + c
    return tf.keras.losses.mse(targets, predictions) # the error between y and y' 
for j in range(1000):       # Do for 1000 iterations (Can be considered epochs)
    for batch in pd.read_csv('dataset.csv', chunksize=100): # Load the data in batches
        y = np.array(batch['target'], np.float32) 
        X = np.array(batch['feature'], np.float32)
        opt.minimize(lambda: loss_function(intercept, slope, y, X), var_list=[intercept, slope]) # Run optimization algorithm to minimize loss function
        print(loss_function(intercept, slope)) # Verbose that will print reduced error after each iteration
print(intercept.numpy(), slope.numpy())  # Print the trained parameters

### Note: the opt.minimize() code can also be broken as
# with tf.GradientTape() as tape:
        # loss = loss_function(intercept, slope, price_batch, size_batch)
    # 
    # gradients = tape.gradient(loss, [intercept, slope])
    # opt.apply_gradients(zip(gradients, [intercept, slope]))

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Tags: python linear-regression tensorflow linear-re

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Contributed on Apr 24 2024

Innocent Iguana

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tensorflow 2.0 linear regression example

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linear regression in tensorflow

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