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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-mastery-build-your-ai-foundation/
课程评论：没有评论
课程名称：《深度学习精通：构建你的AI基础》 课程概述： 加入AI革命，参加《深度学习精通：构建你的AI基础》课程。在当今世界，AI、LLM（大型语言模型）和LMM（大型多模态模型）无处不在，但这些LLM是如何驱动的呢？其核心技术就是深度学习和神经网络。在本课程中，你将获得构建强大AI模型所需的基础知识和实践技能，使用简单的代码实现。从AI初学者到有抱负的数据科学家，该课程将指导你掌握深度学习的核心概念，包括变压器架构。最重要的是，你将获得构建类似GPT-1的语言模型的能力，使用变压器架构，理解深度学习算法背后的核心直觉，并掌握构建深度神经网络的技术。 课程内容将深入探讨多种神经网络架构，如卷积神经网络（CNN）、递归神经网络（RNN）、长短期记忆网络（LSTM）、门控循环单元（GRU）和最重要的变压器架构，这些都是最新AI、大型语言模型（LLM）和大型多模态模型（LMM）的基础。通过实践项目，你将从零开始构建自己的模型，并在公共数据上进行训练。你将获得解决计算机视觉、时间序列预测和自然语言处理（NLP）等实际问题的真实经验，包括语言建模。 到课程结束时，你不仅会理解深度学习的工作原理，还将有信心将其应用于现实世界的问题中，包括LLM，利用TensorFlow和Keras等工具构建尖端AI解决方案。
Become part of AI revolution with "Deep Learning Mastery: Build Your AI Foundation" course. Today AI, LLM's, LMM's are everywhere, but how are these LLM's powered? what core technology is driving them? Its Deep Learning and Neural Networks and in this course you will gain the foundational knowledge and practical know-how to build powerful AI models from scratch with just few lines of code. Whether you're a beginner in AI or an aspiring data scientist, this course will guide you in mastering core Deep Learning concepts including Transformers Architecture.Most importantly you will gain the ability to build your own Language models similar to GPT1 using the Transformer Architecture.You'll understand the core intuition behind Deep Learning Algorithms & master the techniques to build deep neural networks.You will dive deep into different neural network architectures like CNN, RNNs LSTM, GRU, and most importantly TRANSFORMERS which are the foundation for all latest AI, Large Language Models (LLM), Large Multimodal Models (LMM). With hands-on projects you will build your own models from scratch trained on public data.You'll gain real-world experience solving problems in computer vision, time-series forecasting and natural language processing (NLP) inlcuding Language Modeling.By the end of the course, you'll not only understand how deep learning works but will also have the confidence to apply it to real-world problems, LLM's, leveraging tools like TensorFlow and Keras to build cutting-edge AI solutions.
