Engineering Course Materials
B.Tech – Artificial Intelligence and Data Science
Convolutional Neural Networks (CNNs) are deep learning models designed to process grid-like data such as images by applying convolutional filters
Continue readingUNIT 2 – CONVOLUTIONAL NEURAL NETWORKS – 2 MARKS WITH ANSWERS
Model evaluation is the process of assessing how well a machine learning or deep learning model performs on unseen
Continue readingUNIT 4 – MODEL EVALUATION -2 MARKS WITH ANSWERS
Autoencoders are neural networks that learn to compress input data into a lower-dimensional representation and then reconstruct it back, useful
Continue readingUNIT 5– AUTOENCODERS AND GENERATIVE MODELS -2 MARKS WITH ANSWERS
Autoencoders are neural networks that learn to compress input data into a lower-dimensional representation and then reconstruct it back, useful
Continue readingUNIT V – AUTOENCODERS AND GENERATIVE MODELS -16 MARKS WITH ANSWERS
Recurrent Neural Networks (RNNs) are a type of neural network designed for sequential data, where outputs from previous steps are
Continue readingUNIT III -RECURRENT NEURAL NETWORKS-16 MARKS WITH ANSWERS
Cloud computing is the delivery of computing services like servers, storage, databases, networking, software, and more over the internet. It
Convolutional Neural Networks (CNNs) are deep learning models designed to process grid-like data such as images by applying convolutional filters
Continue readingUNIT II -CONVOLUTIONAL NEUAL NETWORKS-16 MARKS WITH ANSWERS
Hadoop is an open-source framework used for processing and storing large-scale data across distributed systems. It includes HDFS for storage,
Continue readingBig Data Analytics-CSS334-ALL UNITS-2 Marks and 16 Marks
Hadoop uses various data formats and tools like Streaming and Pipes to analyze and scale data processing efficiently. It relies
Continue readingBig Data Analytics-CCS334/Unit V-Notes-HADOOP RELATED TOOLS