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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-genai-bootcamp-with-chatbot-chatgpt-pytorch/
课程评论：没有评论
课程名称：人工智能GenAI课程ChatBot ChatGPT 课程概述： 欢迎来到完整的人工智能训练营，使用Python和PyTorch进行ChatBot和ChatGPT的开发！本课程是掌握人工智能、深度学习和PyTorch的终极平台。无论你是初学者还是有经验的专业人士，这个综合训练营旨在提升你的技能，让你在人工智能领域拥有竞争优势。 课程独特之处： - **独家内容**：深入学习在线其他地方无法获得的材料和实践项目。 - **全面的课程设置**：从PyTorch基础知识到变换器架构和ChatBot创建等高级主题应有尽有。 - **实践项目**：通过实际的、现实世界的项目应用所学知识，巩固每个概念。 - **专家指导**：向在人工智能和深度学习领域具有丰富经验的讲师学习。 - **互动测验**：通过测验挑战你的理解，测试你对各个部分的掌握程度。 **课程大纲**： 1. **引言**：课程结构和目标概述。 2. **PyTorch入门**：学习计算图、张量及其操作。 3. **深度学习中的损失函数**：探索L1、L2二进制交叉熵和KL散度等多种损失函数。 4. **深度学习中的激活函数**：了解ReLU、Leaky ReLU和PReLU等激活函数的重要性。 5. **正规化和标准化**：学习正规化技术和标准化方法。 6. **人工智能中的优化**：掌握梯度下降和小批量SGD等优化技术。 7. **在PyTorch中构建神经网络**：逐步指南设计、训练和测试使用MNIST数据集的神经网络。 8. **自定义PyTorch数据集和数据加载器**：创建和使用自定义数据集和数据加载器以实现高效数据处理。 9. **构建图像分类CNN模型**：构建、训练和可视化手写数字分类的CNN模型。 10. **使用变换器架构构建ChatBot**：综合指南理解和实施变换器架构进行ChatBot开发。 11. **使用预训练的ChatGPT构建ChatBot**：综合指南理解和微调预训练的ChatGPT用于问答目的。 **为什么选择本课程？** 完成本课程后，你将： - 深入理解人工智能和深度学习的基础知识。 - 熟练掌握使用PyTorch进行各种机器学习任务。 - 能够构建和部署神经网络和变换器模型。 - 拥有创建功能性ChatBot的技能。 本课程非常适合： - 渴望成为数据科学家和机器学习工程师的人。 - 希望转型为AI角色的软件开发人员。 - 希望增强AI技能的专业人士。 - 渴望学习尖端AI技术的爱好者。 立即注册，利用独家内容和实践经验在AI行业获得竞争优势，让你脱颖而出！
Welcome to the Complete Artificial Intelligence Bootcamp with ChatBot and ChatGPT in Python using PyTorch! This course is your one-stop-shop for mastering artificial intelligence, deep learning, and PyTorch. Whether you're a beginner or an experienced professional, this comprehensive bootcamp is designed to elevate your skills and give you a competitive edge in the AI field.What makes this course unique?Exclusive Content: Dive into materials and hands-on projects that are not available anywhere else online.Comprehensive Curriculum: Covering everything from the basics of PyTorch to advanced topics like transformer architecture and ChatBot creation.Hands-on Projects: Apply your learning with practical, real-world projects designed to reinforce each concept.Expert Instruction: Learn from an instructor with extensive experience in AI and deep learning.Interactive Quizzes: Test your knowledge with quizzes that challenge your understanding of each section.Course Overview:Section 1: IntroductionGet an overview of the course structure and objectives.Section 2: Introduction to PyTorchLearn about computational graphs, tensors, and tensor operations.Dive into tensor datatypes, math operations, and shape manipulation.Understand autograd and perform in-place operations.Section 3: Loss Functions in Deep LearningExplore various loss functions such as L1, L2, binary cross-entropy, and KL divergence.Section 4: Different Activation Functions in Deep LearningUnderstand the importance of activation functions like ReLU, Leaky ReLU, and PReLU.Section 5: Normalization and RegularizationLearn about regularization techniques and normalization methods.Section 6: Optimization in AIMaster optimization techniques including gradient descent and mini-batch SGD.Section 7: Building a Neural Network in PyTorchStep-by-step guide to designing, training, and testing a neural network using the MNIST dataset.Section 8: Custom PyTorch Dataset and DataloaderCreate and utilize custom datasets and dataloaders for efficient data processing.Section 9: Building an Image Classification CNN ModelBuild, train, and visualize a CNN model for handwritten digit classification.Section 10: Building a ChatBot using Transformer ArchitectureComprehensive guide to understanding and implementing transformer architecture for ChatBot development.Section 11: Building a ChatBot using Pre-Trained ChatGPTComprehensive guide to understanding and fine tuning pre-trained ChatGPT for question and answer (Q & A) purpose.Why Enroll?By the end of this course, you will:Have a deep understanding of AI and deep learning fundamentals.Be proficient in using PyTorch for various machine learning tasks.Be able to build and deploy neural networks and transformer models.Have the skills to create a functional ChatBot.This course is perfect for:Aspiring data scientists and machine learning engineers.Software developers looking to transition into AI roles.Professionals seeking to enhance their AI skillset.Enthusiasts eager to learn about cutting-edge AI technologies.Enroll now and gain an unfair advantage in the AI industry with exclusive content and practical experience that sets you apart from the rest!
