TensorFlow Tutorial For Beginners | Deep Learning with Python

[@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,,,!

[@blessinq5]

Thank you for the tutorial.

[@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

[@jedigunn]

Thank you so much for the great content.

[@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!

[@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

[@ronymora1371]

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

[@oliversimmons988]

love it. Great video

[@TruthOfZ0]

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

[@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

[@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

[@MahRahman1]

impressive

[@alevera16]

Thank you!!

[@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..