Titlebook: Deep Learning on Windows; Building Deep Learni Thimira Amaratunga Book 2021 Thimira Amaratunga 2021 Deep Learning.Artificial Intelligence.A

勤勞

Deference

Almas Heshmati,Masoomeh RashidghalamIn Chapter 1, we briefly touched upon the concept of reinforcement learning. As we discussed there, reinforcement learning is one of the methods in which machine learning models are trained.

富饒

What Is Deep Learning?,We live in the era of artificial intelligence (AI).

條約

Setting Up Your Tools,Now that we know what we need to get started, let us begin setting up our tools.

不如屎殼郎

Building Your First Deep Learning Model,We are now ready to start building our first deep learning model.

AMEND

使迷惑

Starting, Stopping, and Resuming Learning,As you have probably learned by now, training deep learning models can take long times: hours and maybe days, based on how complex the model and how large your dataset.

FLIP

Deploying Your Model as a Web Application,Over the past several chapters, we have talked about some techniques to optimize the training of a model. We went through the steps of starting with a small dataset to get results that can be applied in practical scenarios.

Gullible

Introduction to Generative Adversarial Networks,Can an AI be creative—can it learn to create art, for example? The traditional answer was no. But lately we are not so sure. Recently, thanks to deep learning, the definition of creativity has been become blurred.

諄諄教誨