[학습] 모두를 위한 딥러닝 #2 Lab 01 - Lab 04

Lab 00 - TensorFlow의 설치 및 기본적인 Operation

 

1. TensorFlow

• Open source software library for Numerial computation using data flow graphs.

• Python

2.  Data Flow Graph

• Nodes : mathermatical operations
• Edges : multidimensional data arrays (tensors) communicated between them.

3. Check installation and version    (1.4)

 

 

4. Example

 

  1) Hello world

 

  2) Node Add 

 

  3) Placeholder

 

 

 

 

 

 

TensorFlow Mechanics 

 

1. Build graph using TensorFlow operations

2. feed data and run graph (operation) : sess.run(op)

3. update variables in the grap (and return values)

 

 

 

4. Tenor Ranks, Shapes, and Types

  1) Rank

  2) Shape

  3) Type

 

 

 

Lab 02 - TensorFlow로 구현한 Linear regression

 

1. Example

 

2. Linear Regression with Placeholder

 

 

 

 

Lab 03 - Linear regression : minimize Cost

 

 

1. plot cost function

 

 

2. Optimized by Hand

 

 

3. Optimized by Gradientdecent Function

 

4. Calculate gradient value

 

 

 

 

Lab 04 - multi-variable Linear regression

 

1. Multi-Variable  

 

 

2. Multi-Variable with matrix

 

 

 

3. Slice Matrix

 

 

4. file data

 

 

5. Queue Runners

 

 

 

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