TensorFlow Tutorial For Beginners | Deep Learning with Python

In this TensorFlow tutorial for beginners, we will perform deep learning with python. By the end of this deep learning tutorial you will have written your first neural network that can recognize hand written digits with the mnist dataset. We will start by importing the necessary libraries, then we will download the mnist dataset. After splitting the dataset to training and test datasets we will scale their pixel values to a range our neural network can work easier with. Then we will build, train, evaluate, save and retrieve our neural network model. I hope you got some value out of it. If you have any suggestions comment them down below.
If you learn better by reading, I have an article version of this tutorial, with all the code included:
/ write-your-first-ai-pr...
Google Colab:
colab.research...
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[@eliotttessier112]

for me, perfect introduction to tenserflow/keras.

[@Gowtham25]

All your teaching stuffs are really good and in a easily understandable way!. Keep on rock and create a more videos about A.I & M.L. like this.

[@DogaOzgon]

Thanks, will do!

[@jrod32nd]

thanks a lot this is gonna look really good, I can't believe how easy its gotten since I first worked with mnist 5 years ago

[@eastcoastofzanzibar2465]

Well done,,, Short tutor and clear codes presentation,,,
And is useful,,,,!
Thanks,,,!

[@hackercop]

Wow you are a good tutor this video was helpful, if you persevere with these videos YT algorithm will reward you.

[@DogaOzgon]

Glad it was helpful!

[@ronymora1371]

Great explanations. I am new on this and this video helped me a lot. Thank you very much.

[@TruthOfZ0]

i dont understand what each line of the code you type does... is there a flow diagram behind all this?

[@jedigunn]

Thank you so much for the great content.

[@chaaaaaaaaaaan]

Pretty late to this vid but thanks a lot. Learnt a lot from you today!

[@AstralTraveler]

Hello! Everything worked perfectly up until 9:37 When I run the script I get the message:
:12: SyntaxWarning: 'int' object is not subscriptable; perhaps you missed a comma?
:12: SyntaxWarning: 'int' object is not subscriptable; perhaps you missed a comma?
:12: SyntaxWarning: 'int' object is not subscriptable; perhaps you missed a comma?
my_model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=1['accuracy'])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
in
10 metrics=[tf.keras.metrics.BinaryAccuracy(),
11 tf.keras.metrics.FalseNegatives()])
---> 12 my_model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=1['accuracy'])
13
14 # train the model
TypeError: 'int' object is not subscriptable

[@bilalviewing]

thanks so much !!
please, more video like this, waiting for more, I like very much the way you explain each section and your descriptive comments

[@zwitter689]

Very nice explanation - is it possible to get a transcript of this?

[@harjasdeepsingh6550]

Keep posting new videos on machine learning and deep learning

[@pankajpanchal4431]

im getting
File "", line 7
plt.imshow(train_images[1]), cmap='gray')
^
SyntaxError: invalid syntax
kindly help

[@romanborisov348]

the bracket after "train_images[1] is causing the error, because you now have one opening bracket and two closing brackets

[@oliversimmons988]

love it. Great video

[@maxkosh4839]

ok. How to use this model???

[@fidlekid]

my_model.predict(np.array([test_images[0]])) and then check which index has the highest value

[@alevera16]

Thank you!!

[@MahRahman1]

impressive

[@suparnabhattacharya3524]

Keep up the good work. Your video was really very helpful.

[@MyFirstReurveBow]

no one can learn anything from that. you just load random data, no one actually want this for a random data the point is to learn how to use your own..