Machine Studying represents a brand new paradigm in programming, the place as an alternative of programming specific guidelines in a language such …

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Tags: aiAI advocateartificial intelligenceartificial intelligence newsartificial intelligence news 2023code for machine learningCoding TensorFlowGDS: Yes;HeroIntrointro to MLlatest news about robotics technologylatest robotslatest robots 2023Laurence MoroneylearningMachinemachine learningmachine learning codeMachine learning zero to heroMLML model pythonpartpython languagerobot newsrobotics newsrobotics news 2023robotics technologies llcrobotics technologyTensorFlowtensorflow codingtf codingzero to hero

stupid question: where do i tell the thing that the relation between x and y is a math problem? how does it know that it has to calculate something and not come up with something else?

Thank You for explaining this so clearly and eloquently.

3:30

-So if you saw it, how did you get that?

-Idk

*proceeds to explain exactly how I got that*Gracias, thank you, danke, merci

Thank you very much

why this is not work with:

S=2*3.14*R*R

it works with: L= 2*3.14*R

;(

Good explanation, thanks.

Am I the only one who see the error in the list of Y-values?

That "-3" should be "0"…

ميسكحص٣٩م٧ش٩قشمسة٣انبيةسك

Laurence, you're just a genius. I have tried to understand that ML from many tutorials, but it's just from yours I really and simply understand.

If human beings are dumb..then writing AI to behave like humans would make the AI…..

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this open for me new world <3 tensor flow and thank you .

here's the code needed from the video, if anyone wants to try it out

import tensorflow as tf

from tensorflow import keras

import numpy as np

model=keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])

model.compile(optimizer="sgd", loss="mean_squared_error")

xs=np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)

ys=np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)

model.fit(xs, ys, epochs=1100)

print(model.predict([10.0]))

I am an absolute beginner and wanted to run the code, but could only get errors at first.

In case anyone needs this broken down, I added the first 3 lines that are necessary to run the tensorflow and keras libraries, installed previously via terminal.

Thanks for each time that you said: "/ˈdeɪtə/" I'll tweet that later!

Very good teacher thank you

Subscribed Sir Laurence! Thanks for the simple yet concise explanation in a short time.

Thanks. You just spiked my interest in this course

❤

very good and simple lecture. thank you.

M

im still completely lost

Still waiting to see what TensorFlow can give out.