Tutorial 1- Introduction to Neural Network and Deep Learning
HTML-код
- Опубликовано: 22 июл 2024
- Hello All,
Welcome to the Deep Learning playlist. In this video we will learn about the basic architecture of a neural network.
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! www.kite.com/get-kite/?...
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...
You can buy my book on Finance with Machine Learning and Deep Learning from the below url
amazon url: www.amazon.in/Hands-Python-Fi...
🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 THINGS to support my channel
LIKE
SHARE
&
SUBSCRIBE
TO MY RUclips CHANNEL
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.
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.
Happy Teacher's Day from USA
watch 2-3 videos of yours and already became your fan.. thanks for uploading such informative videos and helping us :)
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
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
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
Bhai dil se thanks....!! mast clarity se fundamentals & concepts clear kar diya appne. Eak No...
Wow Deep learning made simple🙏
Salute to you bro✌️😎🤩
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...
Great lessons. Keep the good work up. You are an excellent teacher.
Looks like particularly this particular word called 'Particular' is your favourite word, which I can particularly sense by going through this particular channel.
By far the BEST tutorials!
amazing description of neural network... m gonna watch all videos for sure.. thanks for the simple explanation of technical graph
thanks yar ... so easy explanation.. at first time i see that type of explanation... there are no words with me for thanks.
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.
It was great effort to explain the concepts in easier way.I liked it this deep learning play list
all your videos are very nice, in depth topics stated in simpler way.
Excellent class Bro , I am really happy with your videos Great Work Really nice way of teaching
Thats amazing work :) Keep it up
Very good Explanation Krish.. Many thanks for sharing..
Thank you Krish, for such amazing content.
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
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
Starting this tutorial with higher - expectation ❤️
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.
Good job.. clear and precise explanation on Deep learning
Eagerly waiting for it to get started in our class...mazaa aaega....interesting...way much interesting....
Great way of explaining things, Krish Bhai
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 .
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 ?
very good, thank you sir
excellent krish
Please turn off fan it sounds bad
hello sir, could you give me source paper all about material that u explain on deep learning playlist?
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
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.
do i need to learn about AI before these tutorials? i am looking to switch career from finance domain
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 ?
This is video is still beneficial in 2024 ❤
Nice video. Good kick start sir.
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.
Please update the video for RNN. Eagerly waiting !!
Please upload more videos on Deep Learning
This deeplearning is related to all branches sir,
If no for which branches it is related.
such great efforts hank you so much....
You're amazing!
Thank you, so much
Best vedio I ever seen
Excellent explanation..
How to do the PYTHON coding for CNN?
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?
Where to refer a theory? Please suggest. Like book our your own notes...
sir
i want to register deep learning course.how to register?
please set your camera on manual mode, I feel Auto fucose is disturbing.
What is the idea of conservative technique in neural network
can we use fake experience for Machine learning
amazing
Nicely explained
hey can you please make video on video as input to classify the data using DL
Thank u sir.. It's amazing video.. Can u please make some video on covid thermal scan ,face detections ,image classification..
Clear explanation...
👍🏻👍🏻👍🏻 thanks a lot...
Fab Bro...
Wish you a very very happy teacher day sir🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉
Thank you so much Sir🙏🙏
What's the prerequisites for starting with the path
Video ekdm mast cha bhau baki kashek kai chalu ch
pls provide syllables list in data sciences
thank you
Thanks sir
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.
sir you are great
Hi Krish, Please make a video on ADAM optimizer
How I start
Is it beginner friendly, I just know basics of python, and no ML knowledge?
thank you
love from Afghanistan
please explain about Capsule network instead of CNN
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
Hi sir Plz mead any video on Early Stopping in deep learning
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
Hats off
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)
Please upload video on rnn
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
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.
I have an interest towards deep learning.. To learn deep learning I have to learn MI or Not?
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).
Can i get ur github link
why there is so much noise in video
AAA Sir !
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.
🙏
What books do you recommend, Sir?
Google and research papers
Thank you so much, Sir.
I want to learn machine learning
Done
Plez lbp py bna dn
can i learn deep learning without the knowledge of machine learning?
Somewhat yes. But not so good