u r amazing sir u teach very well and in very depth. i also bought one paid course but your course is far much much better than that course. thanku so much sir.
i have seen your videos while i'm doing my internship ,it assist me a lot and gained ample amount of knowledge thorough your videos brother. we are so appricaite you the way of teaching and explaining each and every concept.
Hi Nitish,If possible please upload 2 videos per week..I would request you to finish FEATURE SELECTION in ML,DBSCAN,XGBOOST,ROC-AOC CURVE ,NLP ADVANCE ,PYTHON 100 DAYS AND MLOPS PLAYLIST ALSO
@@nikhiliyer8436 No it's for free. Extra features like doubt clearing, interview preparation and last project section are paid but the class which will be occur every mon, tue and wed will be available for everyone.
@@readbhagwatgeeta3810 ,I know man so what about current playlist of NLP,DL and PYTHON which still not finished ,from now he will only care about this classes only
Sir It's hard to understand Yolo please make a magical video on that. Also can you make a video on semantic analysis in order to recommend user on the basis of their semantic which is submitted by user on a website.
Sir, aak ka samzaja ka tarika bhot achha hai, aap koi bhi topic uske simplified form me batate ho, Thanks for such conceptual description. Could you help me , if you have a dedicated course for GenAI.
why ANN has no sequence information ? if sequence changes so does order of 1d one hot encoded vector changes ? its like normal input sequence change in normal ANN , and ANN can be trained for all possible sequence in the world ? Only issue is related to sparse and large no of weights to be trained ?
00:02 Recurrent Neural Networks (RNNs) are a special type of neural networks used for sequences and NLP tasks. 03:51 Sequential data is a type of data where the sequence of elements matters 07:34 The need to represent sequential data in neural networks 12:26 The first sentence has the maximum number of words with 5 words. 17:18 The problems of wearing size and unnecessary computation in ANM on sequential data 20:48 Sentiment analysis and sentence completion 23:00 RN has various interesting applications. 25:38 The model can understand and answer questions related to a given paragraph. 28:29 The video discusses back propagation in time and the problems arising in RNN