Deep Learning CNN Convolutional Neural Networks with Python - FeedForward FullyConnected MLP

The video tutorial introduces the architecture of neural networks, focusing on layered structures, fully connected networks, and feedforward networks. It explains the importance of these configurations for managing and training neural networks effectively. Key terminologies such as fully connected, feedforward, and multi-layered perceptron (MLP) are discussed. The video concludes with a preview of the next tutorial, which will cover calculating weights in a fully connected feedforward neural network.

Describe the restrictions on edge connections in standard neural networks.

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What is a multi-layered perceptron and how does it relate to neural networks?

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