Under Graduate Courses
Category: UG
AU3791 ELECTRIC AND HYBRID VEHICLES
AU3791 ELECTRIC AND HYBRID VEHICLES UNIT III MOTORS AND DRIVES
AU3791 ELECTRIC AND HYBRID VEHICLES
AU3791 ELECTRIC AND HYBRID VEHICLES UNIT II ENERGY SOURCES
CASE STUDY – DEEP LEARNING – UNIT 3 RECURRENT NEURAL NETWORKS
Recurrent Neural Networks (RNNs) are deep learning models designed for sequential data, where each output depends on previous inputs. They
Continue readingCASE STUDY – DEEP LEARNING – UNIT 3 RECURRENT NEURAL NETWORKS
CCS351-DC CASE STUDY QUESTION
CASE STUDY QUESTION FOR ALL UNIT
CASE STUDY – DEEP LEARNING – UNIT 2 CONVOLUTIONAL NEURAL NETWORKS
Convolutional Neural Networks (CNNs) are a type of deep learning model designed to process and analyze visual data. They use
Continue readingCASE STUDY – DEEP LEARNING – UNIT 2 CONVOLUTIONAL NEURAL NETWORKS
EE3001 UTILIZATION AND CONSERVATION OF ELECTRICAL ENERGY
EE3001 UTILIZATION AND CONSERVATION OF ELECTRICAL ENERGY UNIT V DOMESTIC UTILIZATION OF ELECTRICAL ENERGY
EE3001 UTILIZATION AND CONSERVATION OF ELECTRICAL ENERGY
EE3001 UTILIZATION AND CONSERVATION OF ELECTRICAL ENERGY Unit IV ENERGY CONSERVATION AND ITS IMPORTANCE
EE3001 UTILIZATION AND CONSERVATION OF ELECTRICAL ENERGY
EE3001 UTILIZATION AND CONSERVATION OF ELECTRICAL ENERGY UNIT III HEATING AND WELDING
U24GE206 PYTHON PROGRAMMING UNIT III NOTES
UNIT III LIST, TUPLES, DICTIONARIES, AND SETS IN PYTHON Lists: List operations, slices and methods – List Comprehension – mutability,
