Principles Of Management Organising Exam Study Material for Gate ECE

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Finite Fields a Deductive Approach	lec37	31:40 to 33:05	PDF	VIDEO
Finite Fields a Deductive Approach	lec37	33:05 to 35:20	PDF	VIDEO
Finite Fields a Deductive Approach	lec37	39:58 to 41:23	PDF	VIDEO
Deductive Approach to Finite Fields	lec38	37:50 to 40:07	PDF	VIDEO
Deductive Approach to Finite Fields	lec38	40:07 to 45:04	PDF	VIDEO
Deductive Approach to Finite Fields	lec38	53:01 to 56:07	PDF	VIDEO
Subfields of a Finite Field	lec39	10:50 to 12:11	PDF	VIDEO
Subfields of a Finite Field	lec39	35:43 to 37:30	PDF	VIDEO
Subfields of a Finite Field	lec39	42:46 to 43:55	PDF	VIDEO
Estimating the Parameters of a Cyclic Code	lec41	04:48 to 07:14	PDF	VIDEO

Overview of Artificial Neural Networks	lec26	56:12 to 57:44	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	04:12 to 07:08	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	09:46 to 10:29	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	10:40 to 12:04	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	15:06 to 16:24	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	16:24 to 17:26	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	22:25 to 23:25	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	26:30 to 28:15	PDF	VIDEO
Backpropagation Algorithm; Representational Abilities of Feedforward Networks	lec28	40:43 to 41:42	PDF	VIDEO
Backpropagation Algorithm; Representational Abilities of Feedforward Networks	lec28	42:29 to 44:01	PDF	VIDEO