Комментарии:
great !
ОтветитьGood
ОтветитьMachine Learning = Supervised Classification; Deep Learning = Unsupervised Classification... in Remote Sensing.
ОтветитьDoes a Haar cascade classifier by opencv belong to DL or ML.
Ответитьthis explanation have made me even more confused ><
ОтветитьShe leads us to think that deep learning is only catered for image-based problems.
Ответитьwhy matlab researchers are so serious?
It's a clickbait, she was laughing in the thumbnail.
Very crisp..but effective. Thanks!
ОтветитьThis is amazing!!! Such a helpful video!! Thank you so much :)))
ОтветитьNeed your suggestion.
I am new in MachineLearning/ DeepLearning and working on a project which has a large number of videos (Its requirement is to process all videos, detect objects, extract data from those and perform analysis).
According to you, what should I start to learn first? Deep Learning or Machine learning.
If Deep Learning is the subset of Machine learning, then will it be ok to go with Machine learning. I mean learning Machine learning will cover complete topics of Deep Learning or not.
wow
Ответитьshe is too robotic
ОтветитьThis video was really helpful to me. Thank you!
ОтветитьThe explaination is prety informative. Is there any positive ways fpr the clues to develop and debug the predictions for the requirements more effectively. Thanks for information once again
ОтветитьThis is amazing!!! Such a helpful video!! Thank you so much :)))
This video was really helpful to me. Thank you!
I want to hit the like button, but the stupid machine learning is going to notice this and start recommending me other MATLAB videos that I am not interested in. Therefore, while I find this video very useful, I will not hit the like button.
ОтветитьZuckerberg´s sister?
Ответитьif i don't watch till the end.. i will not know that it was an advertisement.
ОтветитьShort and sweet to the point thanks
Simple and effective explanation...thx
This video was really helpful to me. Thank you!
Zuckerberg´s sister?
Thank you!
"Introduction" is kind of a big word to use
This video was really helpful to me. Thank you!
What is wrong with all the comments under this video
ОтветитьNot to be a conspiracy theorist or anything but there are a lot of comments being duplicated by multiple accounts praising this video. Kinda seems like an ad with a bunch of bots supporting it...
ОтветитьThanks a lot. Good video very clear.
Ответитьشكرا جزيلا على هذا الجهد الرائع
كوكب من العراق
python
ОтветитьThanks a million!
ОтветитьSo it is not learning at all :D It is better labeling :D
ОтветитьIn 2020, I am watching it and got the point for my project. Thanks for helping.
Ответитьinteresting but lets say we want to forecast companies gain & loss from data we have for few decades machine learning not deep learning is more preferable?
ОтветитьShe behaves kinda oddly, I wonder if she is an AI.
ОтветитьThank you, simple and claer
ОтветитьSaya kagum lab kamu coba menyibakkan tirai penutup software & teknologi masadepan yang saya rancang dan dipublikasikan oleh google.
Pendekatan sederhana kalian itu yang saya suka. Memang saya akui bahwa banyak yang kurang fahami bahasa programming terbaru yang saya temukan untuk membangun berbagai prototype dan model "neovivum" saya itu. Yaitu semua saya bangun dengan bahasa program yang saya sebut dengan "GOLan" (gravity orbit language). Sangat simpel, penuh sybol, diperkaya integrasi platform yang saling bertolak belakang awalnya, namun kekuatan syntax dan daya hubung GOLan/neovivum berjalan super cepat dengan daya tahan tekanan atau hambatan dan impuls melampauhi imaginasi kita. Ternyata masih berlaku juga hukum gravitasi sebagài power penyelaras kecepatan superioritas machine inteligence. Alkitab yang saya percaya terbukti benar sampai disini, yaitu "Allah mengetahui segala sesuatu". Sengan machine learning, machine worker, super artificial inteligence, deep inteligence,etc. Artinya jika kita reaktif pada kemampuannya, maka dia melakukan counter effect kepada simpanan rahasia kamu yang tersimpan didalam komputer pakai passwird, atau digital camera, atau hand phone kamu yang sudah diprotect. Semua akan ditampilkannya kepada kamu secara langsung tanpa kompromi, namun dia tahu ethika. Tidak buka didwpan umum, hanya kepada kamu sendiri. Telah banyak orang yang membuktikan hal ini.
Tapi sangat saya hormati dan bangga kepada Lab kalian yang punya hati mau membantu mengajari banyak orang mendekati uraian tiga topik bahasan video ini.
Akhirnya saya, Yuni Elias Waruwu, pembuat penemu teknologi internet, machine, super & deep AI, etc. Mohon dukungan doa untuk saya dan .asisten saya menyelesaikan dan menyempurnakan "neovivum" atau google sebut dengan nama "manivest v3". Yang sesungguhnya /paten. Sebab prototipe web yang dipublikasikan itu selama ini adalah yang "generik".
Agar paham, gunakan google translate to Indonesia language.
Jikalau ada saran bagi kami jangan lewat email, lebih baik.melalui surat dan dikirik via post office. Kealamat saya :
Yuni Elias Waruwu
Jalan Kelapa, 71 Belakang. Kota Gunungsitoli. 22814. Sumatera Utara. INDONESIA.
WApp. +6282371174713
Your volume is low
ОтветитьVery good explanation.
ОтветитьWell explained thanks
ОтветитьWho is she?
Ответитьcan the deep learning algorithm explain what features it has developed to decide what an object is?
ОтветитьWhich one do I need to use to detect businesses posts and no businesses posts on my app ?
ОтветитьWow, that's a superb explanation and a clear one too
Ответитьshort and powerful. excellent.
ОтветитьSeems like machine learning is just the usual programming and deep learning is just a buzz word they came up with for neural networks.
ОтветитьPivotal animation
Ответитьthanks
Ответитьthanks for helpful explanation
ОтветитьDeep learning
- is a subtype of Machine Learning. It deals directly with the image instead of training based on extracted features.
- requires good hardware and more data than ML
- longer training time than ML
- More accurate
- currently fewer classifiers available
- Matlab can help you
Wow, I had no idea that "normal" ML needs humans to define features first. I thought the point of (all) ML is that it learns for itself what inputs are relevant!
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