TensorFlow 2.0 Crash Course




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Learn learn how to use TensorFlow 2.0 on this crash course for inexperienced persons. This course will display learn how to create neural networks with Python and TensorFlow 2.0.

If you need a extra complete TensorFlow 2.0 course, try this 7 hour course: https://youtu.be/tPYj3fFJGjk

🎥 Course created by Tech with Tim. Check out his YouTube channel: https://www.youtube.com/channel/UC4JX40jDee_tINbkjycV4Sg

⭐️ Course Contents ⭐️
⌨️ (0:00:00) What is a Neural Network?
⌨️ (0:26:34) How to load & have a look at information
⌨️ (0:39:38) How to create a mannequin
⌨️ (0:56:48) How to make use of the mannequin to make predictions
⌨️ (1:07:11) Text Classification (half 1)
⌨️ (1:28:37) What is an Embedding Layer? Text Classification (half 2)
⌨️ (1:42:30) How to coach the mannequin – Text Classification (half 3)
⌨️ (1:52:35) How to saving & loading fashions – Text Classification (half 4)
⌨️ (2:07:09) How to put in TensorFlow GPU on Linux

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Comment List

  • freeCodeCamp.org
    November 10, 2020

    If you want to learn even more about TensorFlow, check out this 7-hour course: https://www.youtube.com/watch?v=tPYj3fFJGjk

  • freeCodeCamp.org
    November 10, 2020

    You make great tutorials and speak clearly. It's nice for people who are not English native speakers.

  • freeCodeCamp.org
    November 10, 2020

    can't trust anything a guy using a windows computer says for this.

  • freeCodeCamp.org
    November 10, 2020

    how is it shrinking the data to devide by the max value? you get a lot of dezimal numbers…

  • freeCodeCamp.org
    November 10, 2020

    how did you choose 128 neurons for hidden layers ?

  • freeCodeCamp.org
    November 10, 2020

    wow this tf tutorial actually keras tutorial, kinda misleading =(

  • freeCodeCamp.org
    November 10, 2020

    dont you want to evaluate your fit_model rather than your model?

  • freeCodeCamp.org
    November 10, 2020

    We're at shella ka deulim metric abullah equals and bibbidi babbidi is why put them together ? and you've got booty babbdi boo x plus y equals y, x equals zero

  • freeCodeCamp.org
    November 10, 2020

    plt.title("Prediction " + class_names[np.argmax(prediction[i])]), I am getting index Out of range error, can you please help??

  • freeCodeCamp.org
    November 10, 2020

    i accidently create skynet..

  • freeCodeCamp.org
    November 10, 2020

    ValueError: Input arrays should have the same number of samples as target arrays. Found 60000 input samples and 10000 target samples.

    I am getting this error.. an someone help me

  • freeCodeCamp.org
    November 10, 2020

    The white background burns my eye

  • freeCodeCamp.org
    November 10, 2020

    idk why its predicting "tshirt " in all the cases with a accuracy of 0.1018

  • freeCodeCamp.org
    November 10, 2020

    So cool to find a video on this subject where the teacher does not have a heavy accent

  • freeCodeCamp.org
    November 10, 2020

    Is this TensorFlow or Keras?

  • freeCodeCamp.org
    November 10, 2020

    (x2 + y2 − 1)3 − x2y3 = 0

  • freeCodeCamp.org
    November 10, 2020

    Nice content and explanation, thanks for the video

  • freeCodeCamp.org
    November 10, 2020

    1:47:14 – The verbose parameter is a simple debugging tool which prints the status of epochs while the model is being trained. In the case, verbose=1 displays the epoch number with a little decoration. Please feel free to correct if any and add more info.

  • freeCodeCamp.org
    November 10, 2020

    At 1:05:25 you mentioned if we need to make predictions on a single image from the dataset we just need to put [test_images[7]] instead of test_images.
    correction:
    prediction = model.predict(np.array([test_images[7]]))
    we need to pass a NumPy array to the model else one would run into this error:
    ValueError: Input 0 of layer dense is incompatible with the layer: expected axis -1 of input shape to have value 784 but received input with shape [None, 28]

  • freeCodeCamp.org
    November 10, 2020

    Best tensorflow tutorial ive ever seen, thanks for this one!

  • freeCodeCamp.org
    November 10, 2020

    Great video. Very informative. I tried to follow along and created a model in google colab. My training and testing sizes are 60,000 and 10,000 respectively. However, when the model is being trained, below where it says Epoch 1/5… it shows a total of 1875, whereas in the video tutorial it shows 60,000. Can someone please explain to me why my model is only taking 1875 images as input instead of 60,000. I have checked my training and testing sizes and they are 60,000 and 10,000 respectively. But later it shows to be 1875

  • freeCodeCamp.org
    November 10, 2020

    class_names is not working .. it says 'class_names' is not defined…what should I do?

  • freeCodeCamp.org
    November 10, 2020

    Great crash course

  • freeCodeCamp.org
    November 10, 2020

    He became my favorite by saying he doesn't know what Verbose is.

  • freeCodeCamp.org
    November 10, 2020

    Surprise power-move at 1:20:59 …. typing 'cmd' inside a Windows Explorer search bar to launch CMD in that directory. I never knew that!

  • freeCodeCamp.org
    November 10, 2020

    great tutorial, btw, what is this text editor?.

  • freeCodeCamp.org
    November 10, 2020

    amazing video thanks!

  • freeCodeCamp.org
    November 10, 2020

    Tim, I like to watch your videos…
    because I learn lots of things from your videos…
    God Bless you…
    keep sharing your knowledge and coding skills through your videos…
    and another thing, can you please make a Crash Course Video on tf.Keras like this…

  • freeCodeCamp.org
    November 10, 2020

    There is Radeon-compatible version of Tensorflow, called tensorflow-rocm 🙂

  • freeCodeCamp.org
    November 10, 2020
  • freeCodeCamp.org
    November 10, 2020

    If you don't feel like going through an installation process rn, just use google colab, it has numpy, pandas, matplotlib, and tensorflow already available to use.

  • freeCodeCamp.org
    November 10, 2020

    For those facing problems installing TensorFlow and other libraries I recommend using Google Colab as it already has all the required libraries per-installed.👍

  • freeCodeCamp.org
    November 10, 2020

    What chair is that?

  • freeCodeCamp.org
    November 10, 2020

    There is any information about notebook of this video. Can you add the notebook too??

  • freeCodeCamp.org
    November 10, 2020

    what a nonsense video. It doesn't even touch tensorflow. this is a keras crash course. Either your title is a clickbait or you don't understand the difference

  • freeCodeCamp.org
    November 10, 2020

    Nicely done. Would be great to see new door handles.

  • freeCodeCamp.org
    November 10, 2020

    thx a ton, i finaly understood the basics 🙂

  • freeCodeCamp.org
    November 10, 2020

    @1:43:00 you dont quite understand this

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