Thursday, August 17, 2017
Installing Tensorflow on Ubuntu (Anaconda 3.5)
Here is the install log
======================================
276 sudo chmod a+x Anaconda3-4.4.0-Linux-x86_64.sh
277 ./Anaconda3-4.4.0-Linux-x86_64.sh
278 conda create -n tensorflow
279 conda
280 conda create -n tensorflow
281 cd
282 cd ml
283 vim tensorflow_readme.txt
284 source activate tensorflow
285 pyhton
286 pyhton3
287 pypython3
288 conda
289 conda -V
290 conda --version
291 python
292 pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl
293 sudo apt install python3-pip
294 spyder &
295 python tensor_hello.py
296*
297 python
298 pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl
299 python tensor_hello.py
300 python mnist_softmax.py
301 ls
302 cd tf_files/
303 ls
304 cd flower_photos/
305 ls
306 du
307 du .
308 ls
309 cd ..
310 ls
311 curl -O https://raw.githubusercontent.com/tensorflow/tensorflow/r1.1/tensorflow/examples/image_retraining/retrain.py
312 ls
313 python retrain.py --bottleneck_dir=bottlenecks --how_many_training_steps=500 --model_dir=inception --summaries_dir=training_summaries/basic --output_graph=retrained_graph.pb --output_labels=retrained_labels.txt --image_dir=flower_photos
314 curl -L https://goo.gl/3lTKZs > label_image.py
315 python label_image.py flower_photos/daisy/21652746_cc379e0eea_m.jpg
316 ls
317 chmod a+x grab_image.sh
318 ls
319 mkdir food_photos
320 cd food_photos/
======================================
End of Log
Next Step:
Install Firefox Add on: Save Images by Lumox to allow batch image download from google images page
======================================
276 sudo chmod a+x Anaconda3-4.4.0-Linux-x86_64.sh
277 ./Anaconda3-4.4.0-Linux-x86_64.sh
278 conda create -n tensorflow
279 conda
280 conda create -n tensorflow
281 cd
282 cd ml
283 vim tensorflow_readme.txt
284 source activate tensorflow
285 pyhton
286 pyhton3
287 pypython3
288 conda
289 conda -V
290 conda --version
291 python
292 pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl
293 sudo apt install python3-pip
294 spyder &
295 python tensor_hello.py
296*
297 python
298 pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl
299 python tensor_hello.py
300 python mnist_softmax.py
301 ls
302 cd tf_files/
303 ls
304 cd flower_photos/
305 ls
306 du
307 du .
308 ls
309 cd ..
310 ls
311 curl -O https://raw.githubusercontent.com/tensorflow/tensorflow/r1.1/tensorflow/examples/image_retraining/retrain.py
312 ls
313 python retrain.py --bottleneck_dir=bottlenecks --how_many_training_steps=500 --model_dir=inception --summaries_dir=training_summaries/basic --output_graph=retrained_graph.pb --output_labels=retrained_labels.txt --image_dir=flower_photos
314 curl -L https://goo.gl/3lTKZs > label_image.py
315 python label_image.py flower_photos/daisy/21652746_cc379e0eea_m.jpg
316 ls
317 chmod a+x grab_image.sh
318 ls
319 mkdir food_photos
320 cd food_photos/
======================================
End of Log
Next Step:
Install Firefox Add on: Save Images by Lumox to allow batch image download from google images page
Tensorflow: Use pip behind proxy
If you planning to run tensor flow behind proxy.
(tensorflow) c:\temp\ml>pip install --ignore-installed --proxy https://proxy.company.com:port --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.3.0-cp35-cp35m-win_amd64.whl
Collecting tensorflow==1.3.0 from https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.3.0-cp35-cp35m-win_amd64.whl
(tensorflow) c:\temp\ml>pip install --ignore-installed --proxy https://proxy.company.com:port --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.3.0-cp35-cp35m-win_amd64.whl
Collecting tensorflow==1.3.0 from https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.3.0-cp35-cp35m-win_amd64.whl
Wednesday, February 29, 2012
Dare to dream, take the challenge
Went to training and learned very important thing about dream and how it can change life. Determined to make 2012 a rememberable year!
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Wednesday, February 15, 2012
Capitalize on your strength
Even smallest of skill and strength will make a huge different if put into good use
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Monday, February 13, 2012
Cut loss day.
Cut loss in JCY @ 1.29 due to hit threshold for cut loss. Anyhow it is a bad trade to start with. Lesson learn. Do not break the rule.
I should record more of my losses compared to earning
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I should record more of my losses compared to earning
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Sunday, February 12, 2012
Breaking the rule will break your piggy bank
Simple rule are hard to follow, however most things in life is really that simple.
The nature is always simple and yet it is noble.
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The nature is always simple and yet it is noble.
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Stick to the rule and make it simple
Buy@bottom of Band, take profit @ upper band and if retreat 3-5%. Cut loss@ -5%
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- Posted using BlogPress from my iPhone
Monday, January 16, 2012
2012 Goals
Written Goals.
Last year was quite average mainly due to loose goals and inconsistent tracking. This year will focus more on the goal execution and tracking. Time for SMART Goals
Here are my 2012 goals. These are only personal goals. The professional goals are not publish and confidential
1. Complete iOS Development Course (Falls 2011) by WW15'2012. Follow weekly schedule with biweekly update meeting.
2. Complete 3x5x52 = 780, cold contact with weekly tracking. Produce tracking and report on every sunday night
3. NSC Target, at least RM50K per month
4. Promotion criteria target. RM40K per month.
- Posted using BlogPress from my iPhone
Last year was quite average mainly due to loose goals and inconsistent tracking. This year will focus more on the goal execution and tracking. Time for SMART Goals
Here are my 2012 goals. These are only personal goals. The professional goals are not publish and confidential
1. Complete iOS Development Course (Falls 2011) by WW15'2012. Follow weekly schedule with biweekly update meeting.
2. Complete 3x5x52 = 780, cold contact with weekly tracking. Produce tracking and report on every sunday night
3. NSC Target, at least RM50K per month
4. Promotion criteria target. RM40K per month.
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Wednesday, December 28, 2011
Result comes with Action
Year 2011 is 2 days away from end. Overall this year was good but could been better. Note to remind myself that great result is achievable through action and dedication. One more thing is waste not your time by living someone's else life - Steve Jobs
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- Posted using BlogPress from my iPhone
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