c:\work\ml5js\training-lstm>pip install tensorflow
Collecting tensorflow
  Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow
You are using pip version 18.0, however version 18.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.

c:\work\ml5js\training-lstm>python -m pip install --upgrade pip
Collecting pip
  Downloading https://files.pythonhosted.org/packages/c2/d7/90f34cb0d83a6c5631cf71dfe64cc1054598c843a92b400e55675cc2ac37/pip-18.1-py2.py3-none-any.whl (1.3MB)
    100% |████████████████████████████████| 1.3MB 4.6MB/s
Installing collected packages: pip
  Found existing installation: pip 18.0
    Uninstalling pip-18.0:
      Successfully uninstalled pip-18.0
Successfully installed pip-18.1

c:\work\ml5js>pip install tensorflow
Collecting tensorflow
  Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow

c:\work\ml5js>python --version
Python 3.6.5

c:\work\ml5js>pip --version
pip 18.1 from c:\users\nahok\appdata\local\programs\python\python36-32\lib\site-packages\pip (python 3.6)

c:\work\ml5js>virtualenv --version
16.2.0

C:\work\ml5js>pip3 install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.12.0-cp36-cp36m-win_amd64.whl
tensorflow-1.12.0-cp36-cp36m-win_amd64.whl is not a supported wheel on this platform.

C:\work\ml5js>python
Python 3.6.5 (v3.6.5:f59c0932b4, Mar 28 2018, 16:07:46) [MSC v.1900 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.

C:\work\ml5js>python
Python 3.6.8 (tags/v3.6.8:3c6b436a57, Dec 24 2018, 00:16:47) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>

C:\work\ml5js>pip3 install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.12.0-cp36-cp36m-win_amd64.whl
(中略)
Successfully installed tensorflow-1.12.0

C:\work\ml5js>git clone https://github.com/ml5js/training-lstm.git
Cloning into 'training-lstm'...
remote: Enumerating objects: 6, done.
remote: Counting objects: 100% (6/6), done.
remote: Compressing objects: 100% (6/6), done.
remote: Total 30 (delta 2), reused 0 (delta 0), pack-reused 24
Unpacking objects: 100% (30/30), done.

c:\work\ml5js\training-lstm>python train.py --data_dir=.\mydata
Here we go! Reading text file...
0/10500 (epoch 0), train_loss = 8.013, time/batch = 0.963
Model saved to checkpoints\.\mydata\.\mydata!
1/10500 (epoch 0), train_loss = 7.999, time/batch = 0.691
2/10500 (epoch 0), train_loss = 7.961, time/batch = 0.675
(中略)
10497/10500 (epoch 49), train_loss = 1.844, time/batch = 0.602
10498/10500 (epoch 49), train_loss = 1.918, time/batch = 0.614
10499/10500 (epoch 49), train_loss = 1.826, time/batch = 0.593
Model saved to checkpoints\.\mydata\.\mydata!
Converting model to ml5js: .\mydata .\mydata-10499
Done! The output model is in models
Check https://ml5js.org/docs/training-lstm for more information.

// Create the LSTM Generator passing it the model directory
//charRNN = ml5.charRNN('./models/woolf/', modelReady);
charRNN = ml5.charRNN('./models/mydata/', modelReady);

C:\work\python>python c:/work/python/deep-learning-from-scratch-master/ch03/neuralnet_mnist.py
Traceback (most recent call last):
  File "c:/work/python/deep-learning-from-scratch-master/ch03/neuralnet_mnist.py", line 6, in <module>
    from dataset.mnist import load_mnist
ModuleNotFoundError: No module named 'dataset'

C:\work\python>python c:/work/python/deep-learning-from-scratch-master/ch03/mnist_show.py
Traceback (most recent call last):
  File "c:/work/python/deep-learning-from-scratch-master/ch03/mnist_show.py", line 7, in <module>
    from PIL import Image
ModuleNotFoundError: No module named 'PIL'

C:\work\python>pip3 install pillow
Collecting pillow
  Downloading https://files.pythonhosted.org/packages/6c/60/4c0e6702a39eab8d5d4d210f283907cbe387fcffeb873d8eb8c3757a21a9/Pillow-5.3.0-cp36-cp36m-win32.whl (1.4MB)
    100% |████████████████████████████████| 1.4MB 3.3MB/s
Installing collected packages: pillow
Successfully installed pillow-5.3.0

C:\work\python>python c:/work/python/deep-learning-from-scratch-master/ch03/mnist_show.py
Downloading train-images-idx3-ubyte.gz ...
Done
Downloading train-labels-idx1-ubyte.gz ...
Done
Downloading t10k-images-idx3-ubyte.gz ...
Done
Downloading t10k-labels-idx1-ubyte.gz ...
Done
Converting train-images-idx3-ubyte.gz to NumPy Array ...
Done
Converting train-labels-idx1-ubyte.gz to NumPy Array ...
Done
Converting t10k-images-idx3-ubyte.gz to NumPy Array ...
Done
Converting t10k-labels-idx1-ubyte.gz to NumPy Array ...
Done
Creating pickle file ...
Done!
5
(784,)
(28, 28)

$ cd ch01
$ python man.py

$ cd ../ch05
$ python train_nueralnet.py

pi@raspberrypi:~ $ lsb_release -a
No LSB modules are available.
Distributor ID: Raspbian
Description:    Raspbian GNU/Linux 9.1 (stretch)
Release:        9.1
Codename:       stretch

If you want the voice recognizer service to run automatically when the Pi
boots, you need to have a file in the `src` directory named `main.py`. You can
make a copy of one of the example scripts and rename it. Then run this command:

sudo systemctl enable voice-recognizer.service

pi@raspberrypi:~ $ cp ./AIY-voice-kit-python/src/examples/voice/assistant_grpc_demo.py ./AIY-voice-kit-python/src/main.py

pi@raspberrypi:~ $ sudo systemctl enable voice-recognizer.service
Created symlink /etc/systemd/system/multi-user.target.wants/voice-recognizer.service → /lib/systemd/system/voice-recognizer.service.

pi@raspberrypi:~ $ systemctl status voice-recognizer.service
● voice-recognizer.service - voice recognizer
   Loaded: loaded (/lib/systemd/system/voice-recognizer.service; enabled; vendor preset: enabled)
   Active: failed (Result: exit-code) since Sat 2018-12-01 11:49:32 UTC; 1min 54s ago
  Process: 750 ExecStart=/home/pi/AIY-projects-python/env/bin/python3 -u src/main.py (code=exited, status=203/EXEC)
 Main PID: 750 (code=exited, status=203/EXEC)

Dec 01 11:49:32 raspberrypi systemd[1]: voice-recognizer.service: Failed with result 'exit-code'.
Dec 01 11:49:32 raspberrypi systemd[1]: voice-recognizer.service: Service hold-off time over, scheduling restart.
Dec 01 11:49:32 raspberrypi systemd[1]: Stopped voice recognizer.
Dec 01 11:49:32 raspberrypi systemd[1]: voice-recognizer.service: Start request repeated too quickly.
Dec 01 11:49:32 raspberrypi systemd[1]: Failed to start voice recognizer.
Dec 01 11:49:32 raspberrypi systemd[1]: voice-recognizer.service: Unit entered failed state.
Dec 01 11:49:32 raspberrypi systemd[1]: voice-recognizer.service: Failed with result 'exit-code'.
pi@raspberrypi:~ $ /home/pi/AIY-projects-python/env/bin/python3 -u src/main.py

# This service can be used to run your code automatically on startup. Look in
# HACKING.md for instructions on creating main.py and enabling it.

[Unit]
Description=voice recognizer
After=network.target ntpdate.service

[Service]
Environment=VIRTUAL_ENV=/home/pi/AIY-projects-python/env
Environment=PATH=/home/pi/AIY-projects-python/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
ExecStart=/usr/bin/python3 -u /home/pi/AIY-projects-python/src/main.py
WorkingDirectory=/home/pi/AIY-projects-python
StandardOutput=inherit
StandardError=inherit
Restart=always
User=pi

[Install]
WantedBy=multi-user.target

pi@raspberrypi:~ $ systemctl status voice-recognizer.service
● voice-recognizer.service - voice recognizer
   Loaded: loaded (/lib/systemd/system/voice-recognizer.service; enabled; vendor preset: enabled)
   Active: active (running) since Sat 2018-12-01 12:10:45 UTC; 2min 26s ago
 Main PID: 556 (python3)
   CGroup: /system.slice/voice-recognizer.service
           └─556 /usr/bin/python3 -u /home/pi/AIY-projects-python/src/main.py

Dec 01 12:10:45 raspberrypi systemd[1]: Started voice recognizer.
Dec 01 12:12:00 raspberrypi python3[556]: Press the button and speak
Dec 01 12:12:00 raspberrypi python3[556]: [2018-12-01 12:12:00,698] INFO:recorder:started recording

import logging

import aiy.assistant.grpc
import aiy.audio
import aiy.voicehat

aiy.i18n.set_language_code('ja-JP') #これを追加