Комментарии:
amazing cleared my doubt
ОтветитьCurrently what is recommended? Tensorflow or Pytorch for deep learning?
ОтветитьHi sir I am very new to this. Please guide me which one should i start first
Ответить❤
ОтветитьHi, Can anyone explain, what is the difference if I directly work from Google Colab as opposed to working in my system?
ОтветитьDifference should contain what they do differently or how are they used differently.
ОтветитьGreat video,
ОтветитьJust starting with computer vision, did some open cv and yolo what should i start with tensor flow or pytorch?
ОтветитьThere was as in issue in installing TensorFlow in my system, do you have any other alternative method to install TF
ОтветитьI am missing the actual vs. This is just a "Why should you use Keras" video. Please label your videos correctly.
Ответитьsir the thumbnail and title is not matching the content you didn't mention the difference between pytorch.
Ответитьtensorflow and pytorch are example of which type of machine learning platform ,??????
ОтветитьThank you <3
Ответитьhe is the best!
ОтветитьThanks for the series..makes my whole btp
Ответитьthank you
ОтветитьSir can I buy ryzen cpu GPU laptop to learn machine learning/deep learning
ОтветитьExellent Exellent👌👌😊✔✔👍👍👍
Ответитьngl, i love all of them, but pytorch has way better performance and is sooo pythonic. you just gotta love pytorch!
Ответитьany could help me , recently i installed tensorflow in mac but , there is a problem encounter regarding matplotlib , give messege that there is no such module ..
ОтветитьQuestion: If I want to learn AI with python using any of this frameworks, do I need math knowledge? Or is it enough to know programming
ОтветитьIt was more of explaining keras
ОтветитьThank you a lot mate, simple and concise, keep it up!
ОтветитьWell, since you mentioned in your very first video you'd use TF over PyTorch (which I find logic, since this is TF tutorial series, lol), I guess I won't complain a lot about the evident biased preference of TF...
Let's see what the next video holds! Thank you.
But which should one learn first Tensorflow or pytorch. Great channel.
ОтветитьWhenever I am importing Tensorflow it shows error
ОтветитьI Like the way he teach, clear ,concise & at the normal speed only perfect for beginners like me
ОтветитьThe topic you selected is excellent. I too wondered many times about the same and had to do some google search..
Ответитьclear and direct to the point
Ответитьbut you did not teach how to install Tensorflow
ОтветитьVery informative. Many thanks.
ОтветитьCorrect ...tensorflow and keras will be perfect for me because pytorch seems to be more pythonic and I am dumb in programming😂
ОтветитьI like the explanation
ОтветитьAmazing explanation .
ОтветитьSir thanks for your all Videos but i request you please upload one playlist on Tenserflow 2.X for beginner to advance
ОтветитьGreat video as usual,Thanks 👍❤
ОтветитьTensorFlow is a backend engine to Keras .
It is an excellent choice for training distributed deep learning networks
create a Python 3 virtual environment exclusively for_ Keras + TensorFlow-based projects
$ mkvirtualenv keras_tf -p python3
$ workon keras_tf
$ pip install --upgrade tensorflow
$ python
>>> import tensorflow
# install a few Python dependencies to install keras
$ pip install numpy scipy
$ pip install scikit-learn
$ pip install pillow
$ pip install h5py
$ pip install keras
>>> import keras
Using TensorFlow backend.
>>>quit()
Hey dhaval sir, your presentation slides are amazing in every video, can you plz tell me which software you use to make them😀
ОтветитьLooking for next videos
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