Hi Sir, I appreciate your videos. They're really useful. Can you please make videos that show examples of RNN, LSTM as well as videos on Deep Reinforcement Learning
AMAZING EXPLANATION SIR.... Please make a video on how do you understand and explain such complex topics so easily, that will help us to self educate ourselves🙌🏻🙌🏻🙌🏻
Hi Dhaval, Great content! Really learning a lot from your videos. Do you upload your slides as well? Would be really helpful if I could go through slides when required. Thank you.
@@codebasics I hope you will cover all optimisers like GD, SGD, Mini batch SGD, SGD with momentum, Adagrde, Adadelta & RMSprop and Adam if it is possible
While training deep neural network with 2 units in the final layer with sigmoid activation function for binary classification 2 weights of final layer becomes both 0 leading to same score for all inputs since it only uses bias in sigmoid, what are some reasons for this?
Hi everyone, I have one doubt, as said in the video many times we do derivative of loss with respect to weights, but the loss is a constant value and derivative of constant is zero, so how the weights are updated, I know its a silly question but can anyone please answer this it would be very helpful
Sir how many tutorials are still remaining to complete this deep learning playlist ? Or how much we have covered this deep learning playlist so far in terms of percentage ?
I have recently started your data science tutorials especially I have been doing python and statistics learning, I have no fear on programming concepts but problem comes from when it comes to machine learning which brings me back to my days of school like algebra, matrix and calculus so is there a short path that can help me to cover those areas? can i be data scientist while I am normal at math?
I would say as and when you encounter math topic just try to get that topic clarified. I am in fact going to make a full tutorial series on "math for ML". stay tuned!
Hi while training highly imbalanced dataset in binary classification weights of final layer keep going to zero leading to y_pred = 0 for all X. What are some reasons for this?
Sir in cnn features are automatically extracted, but my project coordinator ask me what features are automatically extracted by cnn, i am stuck on this question, please help me what should i answer. I always say "we dont need to teach any features cnn extracts it in convo layer? But i think he didn't satisfy in this ans
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best Deep Learning playlist till date
Hi Sir, I appreciate your videos. They're really useful. Can you please make videos that show examples of RNN, LSTM as well as videos on Deep Reinforcement Learning
Amazing explanations. Thank you very much!
AMAZING EXPLANATION SIR....
Please make a video on how do you understand and explain such complex topics so easily, that will help us to self educate ourselves🙌🏻🙌🏻🙌🏻
good point. I will note it down.
EXPLAINATION, VIDEO AND AUDIO QUALITY IS VERY GREAT. PLS GUIDE US WHAT KIND OF SOFTWARE, YOU HAVE BEEN USED FOR RECORDING THE VIDEO
camtasia studio. blue yeti mic.
Sir, can you please make a video on generative adversial networks and a simple example project which implements GAN?
Thank you very much, sir. Crystal clear explanation!
series of explanation video by video is awsome :)
Thanks you for the great video. Clear and easy to understand.
Please release all videos as soon as possible. 🙏🏻
I am trying mandar. it takes time to produce these videos.
@@codebasics I agree.
Thanks a lot. i think there is a typo in the slides as a3 is missing. you have a2 followed by a4.
Very good explanation
4:35 This felt personal
4:36 is literally me, lol
amazing explanation tho, thanks so much!
Need survival Analysis ! Plzzz do it
Hi Dhaval, Great content! Really learning a lot from your videos. Do you upload your slides as well? Would be really helpful if I could go through slides when required. Thank you.
Thank you.
Thanks a lot
Sir, how GRU and LSTM can solve vanishing Gradient problem?? Is there any vedio on that? Kindly let me know..
Make a video on optimisers
point noted.
@@codebasics 😂 thank you sir 🙏 last time I have requested for vanishing gradient and you made it for that thanks again.
@@codebasics I hope you will cover all optimisers like GD, SGD, Mini batch SGD, SGD with momentum, Adagrde, Adadelta & RMSprop and Adam if it is possible
As the number of hidden layers grow, the gradient becomes very small and the weights will hardly change.
Missing the exercise questions
While training deep neural network with 2 units in the final layer with sigmoid activation function for binary classification 2 weights of final layer becomes both 0 leading to same score for all inputs since it only uses bias in sigmoid, what are some reasons for this?
3:33 "Bigger small number" lol
Hi everyone, I have one doubt, as said in the video many times we do derivative of loss with respect to weights, but the loss is a constant value and derivative of constant is zero, so how the weights are updated, I know its a silly question but can anyone please answer this it would be very helpful
no the loss will change if you alter the weights and biases
Great Explanation sir 🔥🔥🔥. .....I wonder why you haven't reached M subscribers...!!!!
Perfect Explanation! Thank You
Glad it was helpful!
where to get the presentation ure using
if the weights of this single layer are same in RNN then why to back propogate till last why not use only the last word.. and get weight
great!!
Great !
Sir how many tutorials are still remaining to complete this deep learning playlist ?
Or how much we have covered this deep learning playlist so far in terms of percentage ?
we have covered around 90% tutorials. I will publish more videos on RNN and then we will start deep learning projects.
@@codebasicsegerly waiting for DL projects 😋
I have recently started your data science tutorials especially I have been doing python and statistics learning, I have no fear on programming concepts but problem comes from when it comes to machine learning which brings me back to my days of school like algebra, matrix and calculus so is there a short path that can help me to cover those areas? can i be data scientist while I am normal at math?
I would say as and when you encounter math topic just try to get that topic clarified. I am in fact going to make a full tutorial series on "math for ML". stay tuned!
@@codebasics Holy moly! I want to hug you, teacher.
there is no a3 after a2, and also after ... how do a5 and a6 come?
Hi while training highly imbalanced dataset in binary classification weights of final layer keep going to zero leading to y_pred = 0 for all X. What are some reasons for this?
Sir in cnn features are automatically extracted, but my project coordinator ask me what features are automatically extracted by cnn, i am stuck on this question, please help me what should i answer. I always say "we dont need to teach any features cnn extracts it in convo layer? But i think he didn't satisfy in this ans
Sir please include coding along with the videos
bhai ne title me Tensorflow, Keras and Python likha hai lekin pichle teen videos me koi tutorial to nhi hai.. not enough for me to get started
🔥🔥🔥🔥👍👍
👍🏻👍🏻
Stop using "more smaller"
" The vanishing gradient is like a dumb student in a class who is hardly learning anything", I think, this example doesn't suits in your mouth.
I protest on behalf of dumb students.. kadi ninda from my side.