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Python 一天學會--資策會6000元課程免費學

Python 一天學會

Python 一天學會_1

Python 一天學會_2

Python 一天學會_3

Python連接MySQL


電子書
https://drive.google.com/open?id=0B9ckikbX7yKrVmRYRGJsTERGams
https://drive.google.com/open?id=0B9ckikbX7yKrZ3otM3REVHBBTmc
範例:
https://drive.google.com/open?id=0B9ckikbX7yKrS1dhNzJXNXBMNkE
https://drive.google.com/open?id=0B9ckikbX7yKrWXZONzZ6SFVFQms

Python 機器學習

Python 機器學習_1

Python 機器學習_2

Python 機器學習_3

Python 機器學習_a



Python 機器學習-PDF
https://drive.google.com/open?id=0B9ckikbX7yKrUVpaVFljYVhlZ0U
Python 機器學習-範例
https://drive.google.com/open?id=0B9ckikbX7yKrdW1sU3NESl9hdkE
2017-10-16 19:40 發佈
感謝分享。賺到六千。

Python有用過卻沒學過,

撐很多年,為了發神經,看來要學了。


1.If you have Python 2 >=2.7.9 or Python 3 >=3.4 installed from python.org, you will already have pip and setuptools, but will need to upgrade to the latest version:

python -m pip install -U pip setuptools

2.pip install scipy

3.conda install scipy

4.function... 敘述列要縮排對齊......

5.pip install tensorflow / pip install --upgrade tensorflow (命令列要系統管理員或Anaconda prompt)

6.Spyder
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
a = tf.constant(10)
b = tf.constant(20)
print(sess.run(a*b))

7.一天內深度發神經網路碰完成
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 17 19:03:12 2017
@author: Tzou
"""
import tensorflow as tf
import numpy as np
x_data = np.random.rand(3000).astype(np.float32)
y_data =x_data*0.3 +0.5
### 結構
Weights = tf.Variable(tf.random_uniform([1],-1.0,1.0))
biases = tf.Variable(tf.zeros([1]))

y =Weights*x_data + biases
loss=tf.reduce_mean(tf.square(y-y_data))
optimizer=tf.train.GradientDescentOptimizer(0.5)
train = optimizer.minimize(loss)
init=tf.initialize_all_variables()
###訓練
sess=tf.Session()
sess.run(init)

for step in range(250):
sess.run(train)
if step == 0:
print(step,sess.run(Weights),sess.run(biases))


0 [-0.10972303] [ 0.98163331]
10 [ 0.03757805] [ 0.6387136]
20 [ 0.16737078] [ 0.57010627]
30 [ 0.23296864] [ 0.53543198]
40 [ 0.26612207] [ 0.5179075]
50 [ 0.28287795] [ 0.50905055]
60 [ 0.29134643] [ 0.50457418]
70 [ 0.29562646] [ 0.50231177]
80 [ 0.29778963] [ 0.50116837]
90 [ 0.29888287] [ 0.5005905]
100 [ 0.29943535] [ 0.5002985]
110 [ 0.2997146] [ 0.50015086]
120 [ 0.29985574] [ 0.50007623]
130 [ 0.29992712] [ 0.50003856]
140 [ 0.29996318] [ 0.50001949]
150 [ 0.29998139] [ 0.50000983]
160 [ 0.29999053] [ 0.50000501]
170 [ 0.29999524] [ 0.5000025]
180 [ 0.2999976] [ 0.50000125]
190 [ 0.29999882] [ 0.50000066]
200 [ 0.29999945] [ 0.5000003]
210 [ 0.29999974] [ 0.50000012]
220 [ 0.2999998] [ 0.50000012]
230 [ 0.2999998] [ 0.50000012]
240 [ 0.2999998] [ 0.50000012]




https://fgc.stpi.narl.org.tw/activity/techai

感恩老師,一天之內終於初體驗 Python & tensorflow。
https://youtu.be/CA2cOMcbokE

寶可夢戰力進化函式
https://youtu.be/OjVcEJWskWY




ʎǝuɹnoſ ʎɯ ǝǝS 等待與告別: https://youtu.be/k1lf_n0Vs-I
感謝您的分享
找時間好好研究一下
謝謝

wuchaiyen wrote:
Python 一天學...(恕刪)


感謝分享資訊

wuchaiyen wrote:
Python 一天...(恕刪)

好像不錯,標記一下,有空看看
標註一下,感謝分享
wuchaiyen wrote:
Python 一天...(恕刪)
感謝分享資訊
wuchaiyen wrote:
Python 一天...(恕刪)

wuchaiyen wrote:
Python 一天...(恕刪)


找一天來看看學學

wuchaiyen wrote:
Python 一天...(恕刪)


收下了,感謝分享
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