Forward propagation

Introduction to Deep Learning in Python

Dan Becker

Data Scientist and contributor to Keras and TensorFlow libraries

ตัวอย่างธุรกรรมธนาคาร

  • ทำนายผลโดยอิงจาก:
    • จำนวนบุตร
    • จำนวนบัญชีที่มีอยู่
Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

ch1_2.020.png

Introduction to Deep Learning in Python

Forward propagation

ch1_2.021.png

Introduction to Deep Learning in Python

Forward propagation

ch1_2.022.png

Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

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Introduction to Deep Learning in Python

Forward propagation

  • กระบวนการคูณแล้วบวก
  • Dot product
  • Forward propagation ทีละหนึ่งจุดข้อมูล
  • ผลลัพธ์คือค่าทำนายของจุดข้อมูลนั้น
Introduction to Deep Learning in Python

โค้ด Forward propagation

import numpy as np
input_data = np.array([2, 3])
weights = {'node_0': np.array([1, 1]),
           'node_1': np.array([-1, 1]),
           'output': np.array([2, -1])}
node_0_value = (input_data * weights['node_0']).sum()
node_1_value = (input_data * weights['node_1']).sum()
Introduction to Deep Learning in Python

โค้ด Forward propagation

hidden_layer_values = np.array([node_0_value, node_1_value])

print(hidden_layer_values)

[5, 1]

output = (hidden_layer_values * weights['output']).sum()

print(output)

9
Introduction to Deep Learning in Python

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Introduction to Deep Learning in Python

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