Create a computer vision system using decision tree algorithms to solve a real-world problem : Intro to Deep Learning an

The video tutorial introduces deep learning and artificial neural networks, focusing on convolutional neural networks for image classification. It explains the architecture of deep learning, emphasizing the significance of multiple hidden layers. The tutorial also covers TensorFlow, a tool for executing numerical operations, and its application in neural networks. TensorFlow's installation process and basic operations are discussed, highlighting its efficiency and compatibility with various hardware.

What challenges exist in understanding the decisions made by deep neural networks?

How does TensorFlow optimize the processing of operations in a neural network?

What is a tensor and how does it relate to TensorFlow?