I'm Asad Nawaz From Pakistan so I start my Data Science Journey from this Campus X Channel and after that i want to share my Experience about this channel let's start!!!! As my Experience World's best hindi/urdu teacher in Data Science Domain, So thanks a lot sir to Make this kind of channel.
This video is a gem! I've watched several tutorials on perceptrons and neurons, but none of them made it as easy to understand as yours. The way you broke down the concepts and highlighted the key differences between a perceptron and a neuron was fantastic. Thank you so much
your explanation is superb. I want to add one thing when we draw a straight line it divides the 2D plane into two regions. one is region with the origin and the other is without the origin. so when you plug x=0,y=0 in the inequation Ax+By+c>0 it reduces to c>0. if c>0 is a true statement then the region is with the origin otherwise the region is without the origin. The same rule applies with Ax+By+c
Your passion for deep learning shines through every lesson. You make the toughest concepts feel simple and exciting. Your guidance inspires growth and curiosity in all your students. Thank you for being an exceptional mentor 💯
You are a great teacher. I have been watching you for a month now. Thank you for the great content. I have a request can you please share your slides whatever you have written during the session. It will be a great resource for us to revise the concepts whenever we want. Thank you.
Hi I am a doctor learning from your channel....Just wanted to clarify regarding the function of the neuron.....actually in neurons the processing doesn't happen inside the nucleus but at the level of the cell membrane. Nucleus is just the storage location of the genetic material which is important for cell survival reproduction and daily living functions. Actually in neurons the signal transduction process starts when there is release of acetyl choline in the synaptic space (the space between the axon terminals of the previous neuron and the dendrites. These acetyl choline molecules then attach to specific receptors present of the dendrites called as the ligand gated sodium channels (the ligand in this case being acetyl choline itself), This leads to opening of the ligand gated sodium channels and influx of sodium inside the cell. This leads to a local decrease in the membrane potential.....(generally from - 70 millielectronvolts(mev) to -55 millielectronvolts). At this threshold voltage of -55 millielectronvolts other kinds of channels called voltage gated sodium channels are opened which lead to a faster influx of sodium inside the cell taking the membrane potential upto +30 mev. This increase in potential leads to the opening of the voltage gated sodium channel in the adjacent neuron segment and further propagation of the signal. At the level of axonal terminals this action potential leads to opening up of another ion channel called as the voltage gated calcium channels that leads to fusion of acetyl choline containing vesicles with the cell membrane and its eventual release to the synaptic space, propagating the signal.....This disturbed ion concentration of sodium, and calcium across the membrane due to action potential propagation is then again replenished by various other mechanisms. Interesting thing to note here is that the activation function of neuron is more like step ladder...ie... either the neurotransmitter will be released (if the threshold voltage of -55mev is reached) or it will not be released.
Really Helped Sir Previously Never Was able to understand what Perceptron actually is Since Machine Learning But this Video Cleared. Once again Thanks Sir Awesome
very good video. I have completed the DSMP playlist and I think it makes concepts really easy to understand if you know about Linear Regression, especially the geometric intuition. Sir took good 2 hours to explain all this in DSMP.
You are awesome sir. I am Ph.D. student, and your videos have solved a conundrum for me. Thank you 🤩 I am lucky to be one of your viewers. Jai Hind from Pakistan.
Aapka teaching strategy is best & unique in pan India. Aapko dono chiz hi bohut achhe se ata he.. U know what to teach, how to teach & when to teach. Aapka teaching sequence masst 🔥❤️👌🙏👆 he brother.
One correction should be there, it is not the weights which tell us about the importance of the features, the standardized form of the weights (w/√Variance(w)) or the t-statistic tell us the importance. Please check. Thank you.
sir if a perceptron cannot learn a non linear relationship so we cant increase the dimensionality of nonlinear data just like we do in SVM using kernel function and feed it to the perceptron? will it work or not ?
Anybody who is watching this video, it's mandatory to like this video cause this type of precious content you will never find. Please sir I know you are so busy however find some time and complete this video, we are eagerly waiting to complete this series. #peace
Your explanation of perceptron as binary classifier was very clear, but can a single perceptron be used for regression tasks such as for predicting continuous outputs?
If someone is reading this message, just make a habit of commenting to sir's every video. It won't cost you anything. Really he is awesome.
Yes brother you are right. Please everyone subscribe this channel and like and comment on video
Yes everyone should like, comment and subscribe.I
Indeed his videos are amazing
Ok gang boss
Yeah he sure is awesome
I'm Asad Nawaz From Pakistan so I start my Data Science Journey from this Campus X Channel and after that i want to share my Experience about this channel let's start!!!! As my Experience World's best hindi/urdu teacher in Data Science Domain, So thanks a lot sir to Make this kind of channel.
Happy learning brother.
Bro don't use your jihadi brain everywhere as he is not teaching in Urdu. He is explaining only in Hindi language.......
Joined the bandwagon of learning Deep Learning daily with you but so hooked onto it now, can't stop myself to finish the playlist in one go.
This playlist is of GOD level in terms of knowledge and content ❤
2:10-->3:40 What is a perceptron?
16:05-->20:30 Neuron vs Perceptron
29:05-->33:55 Geometric Intuition
This video is a gem! I've watched several tutorials on perceptrons and neurons, but none of them made it as easy to understand as yours. The way you broke down the concepts and highlighted the key differences between a perceptron and a neuron was fantastic.
Thank you so much
Amazing Playlist!! Found a Intuitive Channel for Deep Learning after ages!!!
your explanation is superb. I want to add one thing when we draw a straight line it divides the 2D plane into two regions. one is region with the origin and the other is without the origin. so when you plug x=0,y=0 in the inequation Ax+By+c>0 it reduces to c>0. if c>0 is a true statement then the region is with the origin otherwise the region is without the origin. The same rule applies with Ax+By+c
This channel deserves at least a million subscribers. Thanks a lot Nitish Sir.
Your passion for deep learning shines through every lesson. You make the toughest concepts feel simple and exciting. Your guidance inspires growth and curiosity in all your students. Thank you for being an exceptional mentor 💯
Your explanations are awesome. You make the complex concepts so easy to understand.
You are a great teacher. I have been watching you for a month now. Thank you for the great content. I have a request can you please share your slides whatever you have written during the session. It will be a great resource for us to revise the concepts whenever we want. Thank you.
Bhai coming from your ML playlist, felt like revising Linear and logistic regression excited to see what's in store for the playlist
Really He is good Teacher❤
Hi I am a doctor learning from your channel....Just wanted to clarify regarding the function of the neuron.....actually in neurons the processing doesn't happen inside the nucleus but at the level of the cell membrane. Nucleus is just the storage location of the genetic material which is important for cell survival reproduction and daily living functions. Actually in neurons the signal transduction process starts when there is release of acetyl choline in the synaptic space (the space between the axon terminals of the previous neuron and the dendrites. These acetyl choline molecules then attach to specific receptors present of the dendrites called as the ligand gated sodium channels (the ligand in this case being acetyl choline itself), This leads to opening of the ligand gated sodium channels and influx of sodium inside the cell. This leads to a local decrease in the membrane potential.....(generally from - 70 millielectronvolts(mev) to -55 millielectronvolts). At this threshold voltage of -55 millielectronvolts other kinds of channels called voltage gated sodium channels are opened which lead to a faster influx of sodium inside the cell taking the membrane potential upto +30 mev. This increase in potential leads to the opening of the voltage gated sodium channel in the adjacent neuron segment and further propagation of the signal. At the level of axonal terminals this action potential leads to opening up of another ion channel called as the voltage gated calcium channels that leads to fusion of acetyl choline containing vesicles with the cell membrane and its eventual release to the synaptic space, propagating the signal.....This disturbed ion concentration of sodium, and calcium across the membrane due to action potential propagation is then again replenished by various other mechanisms.
Interesting thing to note here is that the activation function of neuron is more like step ladder...ie... either the neurotransmitter will be released (if the threshold voltage of -55mev is reached) or it will not be released.
Thank you for this but It's gone over our head, either Sir has to understand first and explain to us or you have to learn to explain like Sir :D :)
true that.....very few people can explain like sir does....will try to explain sometime with a video..@@ankushsehgal24
Although Asper sir already said it is not exactly a neuron it is just an analogy everyone takes as per the basic structure.Thank you.
you are saitama of the teaching industry for machine learning
Amazing lessons. Better than any professor I have ever been in class of.
You are the legend sir. Your way of teaching is awesome. Thanks for a great content.
Love u from pakistan
This is one of the best deep learning course on youtube
Really Helped Sir
Previously Never Was able to understand what Perceptron actually is Since Machine Learning But this Video Cleared.
Once again Thanks Sir
Awesome
kisiko aur kya cahiye hoga...top class content mil raha hai , code, data-set mil rha hai free mei... Thank You Sirji 🙏
The best ever channel i have watched on youtube. Thanks for such wonderful work and explanation of every single detail
great lectures day by day....really awesome teaching
The best explanation that I ever seen
Isse jyaada simple way me koi nhi smza skta
Hats off to you sirrr🔥🔥🔥
day 2 of my learning of deep learning
searched too many videos, after a while got this playlist.
this one is amazing 🤘
It is really helping in learning new tech... Thanks, sir for creating this playlist.
Amazing content, recommended to those who all want to start learning deep learning in easy and correct way
Such a nice explanation, I just felt like someone is telling a story about the Perceptron. Excellent!
I watched many videos about perceptron but couldn't grasp the concept. You explained it perfectly!
very simplified explanation and informative
Sir, your teaching style is amazing, explaining every difficult topic like a gym.
very good video. I have completed the DSMP playlist and I think it makes concepts really easy to understand if you know about Linear Regression, especially the geometric intuition. Sir took good 2 hours to explain all this in DSMP.
Clear Concise and Complete ..... awesome content sir
You are awesome sir. I am Ph.D. student, and your videos have solved a conundrum for me. Thank you 🤩
I am lucky to be one of your viewers.
Jai Hind from Pakistan.
I have seen many videos on perceptron, but this is simply best... it gives best intuition... thank you very much sir 🙏🙏
Love the concepts, as a mechanical engineer this was a digestible form for me to learn easily.
This man is just amazing, he really deserves a like.
bhai bhai bhai bhaii lovee you apka content superb😇😇😇😇very easy and understandable
Hatts of sir gajab hi samjhaya h shut din se Mei ye topic clear nhi kr pa rhi thi
Great content as ever. Thankyou for the valuable effort
Really want to understand about deep learning only because of your method of teaching and explaining sir .. THANK YOU SO MUCH..
This concept is already explained in the 100 days of machine learning tutorial on the same channel. And it is explained even better there.
please countine this series sir it is way better than any coursera content
W😎w 🤓🧐 Spectales of Visualization....Truly magnificent Placement example is linked by all my 10th students....God bless you Nitish Sir💫💯
you are great sir honestly speaking you are great
Great sir for teaching in a lucid way🎉
where to get notes of every video ??
Thank you so much, sir
This playlist is really a life changer.
As usual, Greate Explanation ❤🙌
bilkul sir ji, bilkul like karenge aapka video. You are great teacher. Thanks for the videos.
I have No words... it's just amazing outstanding😮😮😮
best explanation of neuron pretty good effort truly appriciate content
Aapka teaching strategy is best & unique in pan India. Aapko dono chiz hi bohut achhe se ata he.. U know what to teach, how to teach & when to teach. Aapka teaching sequence masst 🔥❤️👌🙏👆 he brother.
awesome course i can't explain in words how much it help
Thanks sir for this amazing tutorial ❤❤❤
I started to learn AI and now got this Channel❤ clear example of saying that God gives way you just have to start by single step ..
Watching this now ,it is amazing. Sir can you share related data sets also with each video for practice ?
best content ever in deep learning
very well explained in the simplest form
One correction should be there, it is not the weights which tell us about the importance of the features, the standardized form of the weights (w/√Variance(w)) or the t-statistic tell us the importance.
Please check. Thank you.
Best video to understand Perceptrons.
Professor teaching professionally
You helped me a lot.. more than you think sir seriously.
sir if a perceptron cannot learn a non linear relationship so we cant increase the dimensionality of nonlinear data just like we do in SVM using kernel function and feed it to the perceptron? will it work or not ?
This is My DAY2: AMAZING SIR, I UNDERSTAND EACH AND EVERYTHING SO EASILY CUZ OF U
Thanks for such valueable content sir.
Sir you are just superb the way you teach is mild blowing. I am happy that I found your channel.
Sir Thanks for your great video, and this is the great DL video ever I have seen.
thanks once again for making such great content.
Now i m grabbing the core idea of DL, such a great content and thank you so much .
Please continue the deep learning playlist. Your videos are very informative. Please continue sharing your knowledge.
Beautifully explained sir
learning a lot , learning in naitive language #matrabhasha ka zor hi alag hai _!!
Great content as ever. Thankyou so much for sir for this efforts...........
Thank yo so much for the notes sir!!!
It's very informative I'll learn deep learning here only as it's very easy to learn as it's explained in very depth thanks for your videos
Thankyou sir bcz of you now I can feel perceptron
best teacher of ml on youtube .
Thanks sir for such an amazing content.
Amazing Video , Indepth explanation of Concepts
thankyou teacher!
yes sir very very informative content
Great explanation for beginners, Thanks !!
Thank you so much sir 🙏🙏🙏
Simply Cooool and amzaing way of teaching..
superb teaching sir
I REALLY THANK YOU SIR IT IS LOT FOR US 🥰🥰🥰🥰🥰
best explanation I have ever had.... please do watch the video ..
Day - 4 Successfully Completed Thanks sir
I am from Pakistan. Such a great explanation. Thanks
Excellent Explanation, Thanks a lot for your efforts.
I am not able to download dataset from gtihub
Perfect explanation! 🙏🏻♥️
Exceptionally well explanation , thank you sir!
Such a Nice Explanation , Best Video Ever
Awesome. Teaching complex things in a simple way. Thank you.
Thanku very very much sir for a knowledgeable & interesting videos as always. U r the best.
Anybody who is watching this video, it's mandatory to like this video cause this type of precious content you will never find. Please sir I know you are so busy however find some time and complete this video, we are eagerly waiting to complete this series. #peace
Your explanation of perceptron as binary classifier was very clear, but can a single perceptron be used for regression tasks such as for predicting continuous outputs?
Clearly explained... 👍