Deep Learning - Convolutional Neural Networks with TensorFlow - Introduction

This video tutorial is the second course in a Tensorflow series, focusing on convolutional neural networks (CNNs). It begins with an introduction to neural networks and artificial neurons, then delves into specialized models like CNNs, which are crucial for tasks in computer vision and natural language processing. The course covers both the theory and practical application of CNNs, including building CNNs with Tensorflow 2, designing architectures, and applying them to real-world problems such as image recognition and text classification. The course is suitable for students, professionals, and anyone looking to advance their career in deep learning.

Describe the process of building a CNN using Tensorflow 2.

What are the best practices for designing CNN architectures?