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.
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
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.
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.
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
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.
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.
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.
great explanation I was looking for such video with integrates match in deep learning... Now I am getting the concepts of maths which I never did in my PUC...
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
loved this video just one correction, the value of individual W does not represent the importance of feature. in the example used in the code the coef of x2 is negative, that does not mean the feature x2 is not important.
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.
