Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)

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⭐️ Timestamps ⭐️
00:00 Introduction
00:21 Theory
07:58 Coding
31:34 Exercise

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#tfdatapipeline #tfdatashuffle #tfdataapi #tfdataexample #tfdatadatasettutorial #tensorflowinputpipeline #deeplearningtutorial #tensorflowtutorial

#️⃣ Social Media #️⃣

❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
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You are helping the data science community in an excellent way. keep going on and all the power to you. Thanks! and a very small token of appreciation

pravallikaece
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I was stuck with this Input Pipeline code for my project since last week. but, you cleared my all problems in just one video. Hats off to you for explaining such complex concepts in the easy way 👏

anmolkhurana
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Thank you expert, I follow you from the democratic republic of the congo and I appreciate everything you do

pintokatendejonathan
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Holy smokes, TF pipeline looks so easy now! What a nice tutorial! 😎👍 TF pipelines always looked like black magic to me... until now! 😂... Keep it up with the good work, pal!

dec
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i love you man. Been struggling with tf for 2 months as I only have experience with pandas. The theory part was so helpful in understanding why tf is the way it is. And obv the coding part too. Thank you so much!

ahmedyaseen
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Changing ImageDataLoader to Dataset boosted my training time :) Thank you

lebesgue-integral
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Very useful tutorial! This video shows the Tensorflow Process in a simple and sistematic way. And your explanation is far clearer than any other expert tutorial. Big thumbs up for you, Sir!

muhammadmalik
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I have seen many of your videos and all are so informative. You should make reinforcement learning tutorials as well and best of luck for your future videos

someone
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Man, this really helped me out. I was overcomplicating things. Thanks a bunch!

fernandotta
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Only 175 likes? This video should have like 100k likes. Good content!

shantanubapat
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It was really helpful. Thank you so much for this awesome tutorial on tensorflow data pipeline. Keep making this type of videos more.😀😀😀😀

Noir_SD
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Awesome, but will be better if you could show how to uses it with tensorflow model, what is not such straitforward like it looks

nasgaroth
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Awesome tutorial, you never disappoint 😎👍

freedmoresidume
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is DataSet API useful for small dataset (data enough to be in RAM). It seems in every EPOCH of training, all the files will be reloaded. Which could be slow.

shivkrishnajaiswal
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Great work sir, learnt a lot from ur videos and looking forward to it in future also

akshaypatwal
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Great video! The slides are neat, the explanations are clear and to-the-point. One question: I want to figure out how to stop the shuffling of a tf.data.Dataset every time you use a function, but I couldn't figure it out yet. For example, at 25:39, you extract the labels, but they are not the same as those in the file paths on the cell above. Any idea how NOT to shuffle the instances in a dataset?

jorismattheijssens
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i wish to learn on both deep learning and python through you.

jacksonngari
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Great work sir, , We need tutorial fuzzy based ML and DL.

riyadislam
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Nice Tutorial, thanks.
Also I think you could have just included the scaling part in the process function

kolatimisimi
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Sir could you please cover neural structured learning package, specifically the adversarial regularisation and graph regularisation topics from it, since there aren't many videos on youtube regarding these ....

siddyant