Tutorial 1- Introduction to Neural Network and Deep Learning
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- čas přidán 24. 07. 2024
- Hello All,
Welcome to the Deep Learning playlist. In this video we will learn about the basic architecture of a neural network.
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Below are the various playlist created on ML,Data Science and Deep Learning.
Deep Learning Playlist: • Tutorial 1- Introducti...
Data Science Projects playlist: • Generative Adversarial...
NLP playlist: • Natural Language Proce...
Statistics Playlist: • Population vs Sample i...
Feature Engineering playlist: • Feature Engineering in...
Computer Vision playlist: • OpenCV Installation | ...
Data Science Interview Question playlist: • Complete Life Cycle of...
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I really like the pace at which you explain things. You have good command over the language and knowledge which makes us understand things in a simplest way. Looking forward to go through all your playlists.
watch 2-3 videos of yours and already became your fan.. thanks for uploading such informative videos and helping us :)
Best series on Neural networks so far. Keep up the good work Sir, it has been very resourceful on my journey as an Aspiring data analyst.
Bhai dil se thanks....!! mast clarity se fundamentals & concepts clear kar diya appne. Eak No...
This man is really amazing!!! How clearly he explains everything..I was not known anything before but the moment when I started following him i learnt many things and still learning.....he explained many things with practical even though I was preparing for my university exams but he makes me to get addict of his teaching...i wish I could have a teachers like you in my life.... #thankyousir
Hey man! Am so amazed at how you make this so easy to understand, me i had started ML and Deep learning with Andrew Ng 's tuts but had lost track at some point but with you, i have watched and understood the whole playlist! Good work Brah! Keep it up..
Joshua UG#
Same
Same same
Thanks Krish for the video.I have enrolled in a new batch of ineuron in which deals with deep learning.It will begin on 18th April.Before starting I am desperate to finish your deep learning playlist.I know I will succed as I have blind faith in you Krish. Please encourage.Thanks
Very very good explanation..waiting to see all videos in deep learning.. feeling very much lucky to see all ur videos..really liked ur way of teaching and clarity of explanation.. excellent...
Wow Deep learning made simple🙏
Salute to you bro✌️😎🤩
Thats amazing work :) Keep it up
Great lessons. Keep the good work up. You are an excellent teacher.
By far the BEST tutorials!
I think that you are the best instructor now ..as because i did not get clarity on other channel but you cleared my concept....thanks alot sir
all your videos are very nice, in depth topics stated in simpler way.
Thank you Krish, for such amazing content.
thanks yar ... so easy explanation.. at first time i see that type of explanation... there are no words with me for thanks.
Happy Teacher's Day from USA
It was great effort to explain the concepts in easier way.I liked it this deep learning play list
Excellent class Bro , I am really happy with your videos Great Work Really nice way of teaching
Looks like particularly this particular word called 'Particular' is your favourite word, which I can particularly sense by going through this particular channel.
Very good Explanation Krish.. Many thanks for sharing..
amazing description of neural network... m gonna watch all videos for sure.. thanks for the simple explanation of technical graph
Starting this tutorial with higher - expectation ❤️
great video sir. lots of applaud to your efforts. there are lot of students like me that look for such videos because most of trainer think that we are done with scratch which is not the actual case.
Good job.. clear and precise explanation on Deep learning
Hi sir, hope you're doing well...
I've been watching your videos and they have helped me a lot and I encourage you to keep the up good work for people like us...
I actually wanted to understand a concept in Computer Vision that is "Visualization through activation maximization". Please if you can make a video on that and share, it would be a great help. Thankyou.
Nice Explanation! But one more reason I heard why they could not get perceptron to work is non-linear activation function along with back propagation. Geoffery Hinton also thinks back propagation is not the algorithm how our human or in general animal mind learns.
Great way of explaining things, Krish Bhai
such a nice person you are, a real gem i would say that's been contributing in transforming the standards of lives. God bless you dear, love from Pakistan
very good, thank you sir
You're amazing!
Thank you, so much
Hey Krish Thanks for such a simple but informative yet explanatory introduction to DL... quick question : You were mentioning that you will show hand on example but i dont see that in playlist , do i need to Join / Subscribe some where ?
How can someone dislike his videos? His videos are amazing!!
because of the audio and video quality..
His videos are free to all.So no point in disliking based on audio/video quality .
excellent krish
Eagerly waiting for it to get started in our class...mazaa aaega....interesting...way much interesting....
such great efforts hank you so much....
Nice video. Good kick start sir.
hello sir, could you give me source paper all about material that u explain on deep learning playlist?
Hi Krish,
thank you for sharing knowledge and we are experiencing a bit of background noise along with video flickering(sometimes in between video), if you never mind can you resolve this upcoming videos.
thanks in advance.
sir...!!! suppose in a linear/logistic regression there are 3 neurons in input layer and 3000 in 1st hidden layer and 1 neuron in o/p layer.....why such kind of networks are creating more difficulty while training , but 4-5 neurons works fine. is there any relation b/w 1st layer and i/p layer.
👍🏻👍🏻👍🏻 thanks a lot...
Excellent explanation..
Fab Bro...
Please upload more videos on Deep Learning
Best vedio I ever seen
amazing
Nicely explained
This is video is still beneficial in 2024 ❤
Please update the video for RNN. Eagerly waiting !!
Clear explanation...
thank you
Thank you so much Sir🙏🙏
Whats the first step should i take if i want to learn Deep Learning ?
and what should i learn first between Deep Learning and machine learning ?
How to do the PYTHON coding for CNN?
hey can you please make video on video as input to classify the data using DL
Sir, can you suggest any github link or you make video for the following:
1) EDA + Data Visualization (using D3.js , bokeh, seaborn libraries) End -to-End Project
2) Web Scraping + Feature Engineering End -to -End Project
3) Messy Data Cleaning on Real World Dataset Project
Please make video for above End-to-end project as I want to learn these concepts ....it is request
do i need to learn about AI before these tutorials? i am looking to switch career from finance domain
Video ekdm mast cha bhau baki kashek kai chalu ch
Thanks sir
thank you
love from Afghanistan
sir
i want to register deep learning course.how to register?
This deeplearning is related to all branches sir,
If no for which branches it is related.
Where to refer a theory? Please suggest. Like book our your own notes...
Thank u sir.. It's amazing video.. Can u please make some video on covid thermal scan ,face detections ,image classification..
What is the idea of conservative technique in neural network
sir you are great
Please turn off fan it sounds bad
please set your camera on manual mode, I feel Auto fucose is disturbing.
Wish you a very very happy teacher day sir🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉
can we use fake experience for Machine learning
Hi sir,
Y give each neuron takes only one feature? And we apply activation function to each neuron individually? Can't we take all the features for a single neuron?
pls provide syllables list in data sciences
Sir, How to calculate how many number of hidden layers to be placed in any deep learning model?
Krish says in one of the videos use Keras tuner
Hi Krish, Please make a video on ADAM optimizer
What's the prerequisites for starting with the path
Could you please help me to understand from where to start with these videos to learn machine learning and deep learning ??
Start with python , then EDA , stats , ML , THEN DL
please explain about Capsule network instead of CNN
Hats off
Krish, Your videos seem to be catching a lot of background noise. Earlier videos did not have any issue with the audio but this one does.
AAA Sir !
How I start
Nice Playlist Krish. Awesome explanation.
I don't see any video on RNN on your channel. If you have kindly paste me the link. It would be great help.
Thanks
It will be uploaded soon
Hi sir Plz mead any video on Early Stopping in deep learning
Please upload video on rnn
Sir I have just python knowledge. recently I join company internship.But they have given me the task for object detection using tensorflow. what should I learn ? can i learn directly tensorflow or it is necessary to learn deep learnig and machine learning? How can i go through step by step? What should i learn first ?
Learn TFOD and R-CNN, Faster RCNN, Mask RCNN etc.
Can i get ur github link
Is it beginner friendly, I just know basics of python, and no ML knowledge?
Hello Everyone, How do we decide how many neurons in each Hidden layer should be there? Please anyone.
Hey Ankit, In my opinion there is no way to decide a fixed number of neurons to use in your hidden layers. You just have to use arbitrary number of layers (meaning, just put how many you want).
Dear Krish would you please upload ADAM related video.
sir plz explain Introduction to Neural Network
Deep Neural Network
Convolution Neural Network
Other Advance Neural Networks (Fully Connected, RCNN, Google Net, ResNet)
🙏
I want to learn machine learning
What books do you recommend, Sir?
Google and research papers
Thank you so much, Sir.
I have an interest towards deep learning.. To learn deep learning I have to learn MI or Not?
Done
What is the advantage of deep learning over machine learning
To list a few :
1. Less feature engineering required.
2. More accuracy for complex problems (obviously if you have more data).
3. tf and pytorch support to make and improvise on problems including but not limited too only classification and regression.
can i learn deep learning without the knowledge of machine learning?
Somewhat yes. But not so good
why there is so much noise in video
Plez lbp py bna dn