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TensorFlow Tutorial Part 2 - LR, MLP, CNN Models
1.
TensorFlow tutorial Part2 Sungjoon Choi (sungjoon.choi@cpslab.snu.ac.kr)
2.
Part1: TensorFlow tutorial Handling
images Logistic regression Multi-layer perceptron Convolutional neural network
3.
4.
5.
Overview 5 1. Load custom
dataset 2. Define Logistic regression model 3, Define functions 4. Train the model
6.
Load packages 6
7.
Load custom dataset 7
8.
Define Logistic regression
model 8
9.
Define functions 9
10.
Train the model 10
11.
Review 11 1. Load custom
dataset 2. Define Logistic regression model 3, Define functions 4. Train the model
12.
Part1: TensorFlow tutorial Handling
images Logistic regression Multi-layer perceptron Convolutional neural network
13.
14.
Load packages 14
15.
Load custom dataset 15
16.
Define MLP model 16
17.
Define functions 17
18.
Train the model 18
19.
Review 19 1. Load custom
dataset 2. Define MLP model 3. Define functions 4. Train the model
20.
Part1: TensorFlow tutorial Handling
images Logistic regression Multi-layer perceptron Convolutional neural network
21.
21
22.
22
23.
Load packages 23
24.
Load custom dataset 24
25.
Define CNN model
(1/2) 25
26.
Define CNN model
(2/2) 26
27.
Define functions 27
28.
Train the model 28
29.
Comparisons 29
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