Foundational Neural Network Architectures for AI Research Scientists

Master the core principles and practical applications of ANNs, CNNs, and LSTMs to build a strong foundation for pioneering AI research.

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Fundamentals of Artificial Neural Networks and Deep Learning Basics

Unit 1: Introduction to Neural Networks

Unit 2: Core Components and Operations

Unit 3: Building and Evaluating ANNs

Exploring Specialized Neural Network Architectures: CNNs and RNNs/LSTMs

Unit 1: Convolutional Neural Networks (CNNs) for Image Data

Unit 2: Recurrent Neural Networks (RNNs) for Sequential Data