walot48226 Posted July 13, 2024 Posted July 13, 2024 Published 7/2024Created by Gaurav K. VermaMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 100 Lectures ( 4h 56m ) | Size: 5.13 GBMaster 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 worksUnderstand Weight Initialization and Regularization TechniquesUnderstand Loss Functions in Neural NetworksVisualize the Learning Process of Neural NetworksBuild handwritten digit recognition AI with feedforward networkBuild handwritten digit image classification using CNN AIBuild a Chatbot with AttentionBuild a Chatbot using Transformers ArchitectureUse OpenAI's open source GPT2Finetune your own GPT2 for Q&A just like ChatGPTRequirements:Basic understanding of Python ProgrammingDescription: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!Who this course is for:Beginner Python programmer who wants learn everything about AI and GenAIAnyone who in interested in learning about Neural Networks and Deep LearningAnyone who wants to start their AI and GenAI 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