Complete Artificial Intelligence Bootcamp| ChatBot

本课程《AI 与 PyTorch 实战训练营：从神经网络到 ChatGPT 微调与 ChatBot 构建》由 Gaurav K. Verma 授课，结合理论讲解与项目实操，帮助你系统掌握人工智能、深度学习与 PyTorch 框架的核心技能。

你将学习神经网络与卷积网络原理、损失函数、激活函数、反向传播、正则化与优化技术，并通过实战构建手写数字识别模型、CNN 图像分类器、基于 Transformer 的 ChatBot，以及使用 GPT-2 构建并微调自己的问答机器人。课程覆盖从 PyTorch 基础到 ChatGPT 应用开发的完整路径，适合希望进入 AI 领域的数据科学初学者、开发者与技术爱好者。通过项目驱动方式，让你不仅学懂，还能真正构建出属于自己的 AI 应用。

英文原版介绍

Master AI and PyTorch with hands-on projects. Build your own ChatBot using Transformers and Finetune your own ChatGPT!!

What you’ll learn:

Understand How Neural Networks Work (Theory and Applications)
Understand How Convolutional Networks Work (Theory and Applications)
Understand how the Backpropagation algorithm works
Understand Weight Initialization and Regularization Techniques
Understand Loss Functions in Neural Networks
Visualize the Learning Process of Neural Networks
Build handwritten digit recognition AI with feedforward network
Build handwritten digit image classification using CNN AI
Build a Chatbot with Attention
Build a Chatbot using Transformers Architecture
Use OpenAI’s open source GPT2
Finetune your own GPT2 for Q&A just like ChatGPT

Requirements:

Basic understanding of Python Programming

Description:

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!

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