筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索神经网络课程目录
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习算法, 监督学习, 人工智能和机器学习(AI/ML), PyTorch(机器学习库), Algorithm, 文本挖掘, 人工神经网络, 降维, 人工智能, 功能工程, 数据处理, 概率与统计, 马尔可夫模型, 深度学习, 张力流, 非结构化数据, Keras(神经网络库), 线性代数, 自然语言处理, Machine Learning 方法
- 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
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:免费试用
DeepLearning.AI
您将获得的技能: 计算机视觉, 机器学习, 张力流, 人工神经网络, 人工智能, Keras(神经网络库), 图像分析, 深度学习
- 状态:免费试用
您将获得的技能: 无监督学习, 强化学习, 人工智能和机器学习(AI/ML), 人工智能, 人工神经网络, 生成式人工智能, 张力流, 性能调整, 深度学习, Keras(神经网络库), 自然语言处理, Machine Learning 方法
- 状态:预览
University of Washington
您将获得的技能: 机器学习算法, 生物学, 监督学习, 计算机视觉, 信息架构, 强化学习, 网络模型, 计算思维, Matlab, 人工神经网络, 数学建模, 线性代数, 概率与统计, 计算机科学, 微分方程
- 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:预览
Duke University
您将获得的技能: 监督学习, 机器学习, 计算机视觉, 无监督学习, Python 程序设计, 人工神经网络, PyTorch(机器学习库), 强化学习, 医学影像, 图像分析, 深度学习, 自然语言处理, 应用机器学习, Machine Learning 方法
- 状态:新状态:免费试用
您将获得的技能: Generative AI, Generative Model Architectures, Deep Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Unsupervised Learning, Image Quality
- 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
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
Neural Networks 学习者也搜索
总之,以下是 10 最受欢迎的 neural networks 课程
- 自然语言处理: DeepLearning.AI
- Learning Deep Learning: Unit 1: Pearson
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- Foundations of Deep Learning and Neural Networks: Packt
- 用于人工智能、机器学习和深度学习的 TensorFlow 简介: DeepLearning.AI
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- 计算神经科学: University of Washington
- Cyber Security: Application of AI: Macquarie University
- 机器学习概论: Duke University
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn