使用Python和Pytorch生成 AI-从GAN到CLIP

从基础到高级，学习用最有创造性和最令人兴奋的人工智能架构，生成式人工智能网络编码，生成式人工智能是人工智能和深度学习的现在和未来，它将触及我们生活的每一个部分。这是人工智能的一部分，更接近于我们人类独特的创造、想象和发明的能力。通过学习这门课程，你可以获得人工智能最有前途的部分——深度学习、数据科学和先进技术——的先进知识和实践经验。Generative AI, from GANs to CLIP, with Python and Pytorch

这门课程将带你踏上一段迷人的旅程，在这段旅程中，你会一步一步地学习，我们一起编写一系列生成性架构，从基础到高级，直到我们到达多模态人工智能，在那里文本和图像以令人难以置信的方式连接起来，产生惊人的结果。
在每一节的开始，我都深入解释关键概念，然后我们一起编码，你和我，一行一行，理解一切，一起克服挑战，构建今天和明天最有前途的人工智能架构。完成本课程后，您将对编码过程的关键概念和细节有深刻的理解。
活着是多么美好的时光啊！我们能够编码和理解那些带我们回家的建筑，我们自己人性的家，能够创造和想象。我们将齐心协力实现这一目标。我们开始吧！

课程时长:10小时34分钟|视频:. MP4，1280×720 30 fps |语言：英语+中英文字幕（云桥网络 机译）

你会学到什么
如何使用Python和Pytorch从头开始编写生成性人工智能架构
从GANs到多模态人工智能，深入了解生成性架构如何工作，理解过程中的每一个细节
除了编码之外，每一节都从深入回顾与这些架构相关的关键概念开始
示例:我们将编写一个生成网络来生成人脸，还将结合两个高级网络来将文本提示转换为令人惊叹的图像。
示例:我们将学习通过将分割架构与稳定扩散生成模型相结合来编辑图片中人的服装
特别奖励最后一部分:体验一次引导可视化，在你学习许多关于神经网络的东西的同时，锻炼你头脑中的生成模型

要求
python的基础知识。最基本的就够了，因为我们将一行一行地一起编写每一个小东西
访问互联网连接，因为我们将使用免费的在线谷歌Colab服务一起编码
当我们深入到每一个小细节时，充满热情，让我们开始吧！🙂

描述
2023年9月:更新:最近增加了两个新部分。在第5节中，你将学习通过对分割模型和稳定扩散生成模型的组合进行编程来编辑图片中人的服装。另一个新的部分是最后的额外奖励。在本课程中，您将对不同的创成式模型进行编程。在新的第6部分中，您自己将成为生成模型。你将通过和我一起做一次被引导的可视化之旅，一次到神经元中心的旅程，来练习锻炼你自己头部的生成模型。你将学习生物和人工神经元，以及它们的学习和规划过程，同时在我的大脑中类似GPT的生成模型的指导下，锻炼你大脑中的生成模型。
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这门课程是给谁的
对使用人工智能和深度学习产生、想象和创造新事物感兴趣的人
对生成对抗网络和其他高级人工智能生成架构感兴趣的人
人们对人工智能如何结合不同的模态(文本、图像)来创造新事物(多模态人工智能)感兴趣
对学习编码高级人工智能架构感兴趣的人，他们是这个领域的现在和未来

Learn to code with the most creative and exciting AI architectures, generative AI networks, from basic to advanced

What you’ll learn
How to code generative A.I architectures from scratch using Python and Pytorch
How generative architectures work, in great depth, from GANs to multimodal A.I, understanding every little detail in the process
In addition to the coding, every section begins with an in-depth review of the key concepts related to these architectures
Examples: We will code a generative network that produces human faces, and also combine two advanced networks to transform text prompts into amazing images.
Examples: We will learn to edit the clothes of a person in a picture by combining a segmentation architecture with the Stable Diffusion generative model
Special Bonus Final Section: experience a guided visualization to exercise the generative model in your head while you learn many things about neural networks

Requirements
Basic knowledge of python. It’s enough with the very basics, as we will code every little thing together, line by line
Access to an internet connection, as we will use the free online Google Colab service to code together
Plenty of enthusiasm as we will go deep into every little detail, let’s do it! 🙂
Description
September 2023: Update: Two new sections have been added recently. In Section 5 you will learn to edit the clothes of a person in a picture by programming a combination of a segmentation model with the Stable Diffusion generative model. The other new section is a final Bonus Extra. In this course you do programming of different generative models. In the new Section 6, you will be the generative model yourself. You will practice to exercise the generative model of your own head by doing a guided visualization journey with me, a journey to the center of a neuron. You will learn about biological and artificial neurons, as well as their learning and planning processes, while you exercise the generative model in your head, guided by the GPT-like generative model in my head.
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Generative A.I. is the present and future of A.I. and deep learning, and it will touch every part of our lives. It is the part of A.I that is closer to our unique human capability of creating, imagining and inventing. By doing this course, you gain advanced knowledge and practical experience in the most promising part of A.I., deep learning, data science and advanced technology.
The course takes you on a fascinating journey in which you learn gradually, step by step, as we code together a range of generative architectures, from basic to advanced, until we reach multimodal A.I, where text and images are connected in incredible ways to produce amazing results.
At the beginning of each section, I explain the key concepts in great depth and then we code together, you and me, line by line, understanding everything, conquering together the challenge of building the most promising A.I architectures of today and tomorrow. After you complete the course, you will have a deep understanding of both the key concepts and the fine details of the coding process.
What a time to be alive! We are able to code and understand architectures that bring us home, home to our own human nature, capable of creating and imagining. Together, we will make it happen. Let’s do it!
Who this course is for
People interested in using A.I and deep learning to generate, imagine and create new things
People interested in generative adversarial networks and other advanced A.I generative architectures
People interested in how A.I can combine different modalities (text, images) to create new things (multimodal A.I.)
People interested in learning to code the type of advanced A.I architectures that are the present and future of the field