## 字幕表 動画を再生する

• in this episode, we're going to create a very simple machine learned model and converted to tensorflow Light for use on mobile or I ot devices to start will create a simple model using care us.

• The simplest possible neural network has one layer with one unit, and that takes a single input in care.

• US.

• You'll then compile the model specifying two functions, the lost function and the optimizer on every iteration.

• The framework calculates the loss using the method specified and then tries to optimize the neural network using the optimizer that specified.

• Now we'll create a set of X values from negative ones of four, and now I'll create a set of corresponding Why values for these X values.

• The goal will be to infer the relationship between the two.

• Can you see what it is?

• Every y value is two X minus one.

• So where X is minus one, why is minus three where X zero?

• Why is minus one, etcetera, etcetera.

• To train the neural network, we use model dot faint passing it.

• The ex is the wise and a number of iterations that we want to train for in this case will say 500.

• So how do we test the model to see if a cannon fair y equals two X minus one for a new value that's achieved?

• Using the predict method, we simply past 10 into it in an input shape, which is an array of one.

• We then run the code on the network will be trained, and we'll see that the output is 19.5 which is very close to our desired value.

• Given that we train the network with a very small data set, it's still quite impressive.

• Now that we have a model, we can save it out as a file.

• This is achieved using the save model method and care us.

• We'll run it on will then see that linear don't H five is created.

• Finally will convert to T F light using the Tokyo converter.

• This is achieved with the from caress model file Method will pass the caress file into it.

• We then called a converted to convert and save its results is linear dot cf light.

• We can run it and then we'll see that linear dot cf Lite has created for us to learn more about tensorflow.

• Visit tensorflow dot or ge on while you're at it.

• Don't forget to subscribe to this channel.

in this episode, we're going to create a very simple machine learned model and converted to tensorflow Light for use on mobile or I ot devices to start will create a simple model using care us.

B1 中級

# MLモデルをTensorFlow Liteに変換する方法 (TensorFlow Tip of the Week) (How to convert your ML model to TensorFlow Lite (TensorFlow Tip of the Week))

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林宜悉 に公開 2021 年 01 月 14 日