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探索神经网络课程目录
- 状态:免费试用
您将获得的技能: 网络架构, 计算机视觉, 深度学习, 人工神经网络, 机器学习, PyTorch(机器学习库), 监督学习
- 状态:新状态:免费试用
您将获得的技能: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 计算机视觉, 深度学习, 人工神经网络, 机器学习, 人工智能, 张力流, Keras(神经网络库), 图像分析
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习算法, 数据处理, 监督学习, 文本挖掘, 人工智能和机器学习(AI/ML), 深度学习, 降维, 人工神经网络, 马尔可夫模型, 功能工程, 人工智能, 概率与统计, Algorithm, Machine Learning 方法, 张力流, Keras(神经网络库), PyTorch(机器学习库), 自然语言处理, 非结构化数据, 线性代数
- 状态:免费试用
Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning
- 状态:免费试用
您将获得的技能: Artificial Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Artificial Intelligence, Machine Learning, Linear Algebra, Probability Distribution
- 状态:预览
University of Washington
您将获得的技能: 机器学习算法, 计算机科学, 监督学习, 信息架构, 计算思维, 网络模型, Matlab, 计算机视觉, 生物学, 人工神经网络, 线性代数, 数学建模, 概率与统计, 强化学习, 微分方程
- 状态:预览
Duke University
您将获得的技能: 监督学习, 深度学习, 计算机视觉, 人工神经网络, Python 程序设计, 医学影像, 机器学习, 强化学习, 应用机器学习, Machine Learning 方法, PyTorch(机器学习库), 自然语言处理, 无监督学习, 图像分析
- 状态:新状态:免费试用
Macquarie University
您将获得的技能: Anomaly Detection, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Intrusion Detection and Prevention, Fraud detection, Cybersecurity, Applied Machine Learning, Malware Protection, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Network Analysis, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, MLOps (Machine Learning Operations), Data-Driven Decision-Making
- 状态:免费试用
您将获得的技能: 无监督学习, 深度学习, 人工智能和机器学习(AI/ML), 生成式人工智能, 人工神经网络, 人工智能, Machine Learning 方法, 张力流, Keras(神经网络库), 自然语言处理, 性能调整, 强化学习
University of Colorado Boulder
您将获得的技能: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms
- 状态:免费试用
您将获得的技能: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science
Neural Networks 学习者也搜索
总之,以下是 10 最受欢迎的 neural networks 课程
- 使用 PyTorch 进行深度学习: IBM
- Learning Deep Learning: Unit 1: Pearson
- 用于人工智能、机器学习和深度学习的 TensorFlow 简介: DeepLearning.AI
- 自然语言处理: DeepLearning.AI
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- Foundations of Deep Learning and Neural Networks: Packt
- 计算神经科学: University of Washington
- 机器学习概论: Duke University
- Cyber Security: Application of AI: Macquarie University
- 使用 Keras 和 TensorFlow 进行深度学习: IBM