Скачать или смотреть 001.009.005 Project in TensorFlow

Welcome to the "Deep Learning CNN - Convolutional Neural Networks with Python" tutorial. In this video, we will be discussing how to build and optimize CNN models using the Python programming language. You will learn about the basics of deep learning, convolutional neural networks, and how to implement and optimize CNN models for image recognition.
This tutorial is suitable for those who have a basic understanding of Python programming and want to learn more about deep learning and CNN. We will provide examples of CNN implementation using Python libraries such as TensorFlow and Keras, as well as explain various techniques and strategies that can improve the performance of CNN models.
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Deep Learning CNN - Convolutional Neural Networks with Python

Chapter 9 Transfer Learning
001. What Is Transfer learning
002. Why Transfer Learning
003. ImageNet Challenge
004. Practical Tips
005. Project in TensorFlow
006. Transfer Learning Activity

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