Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network,以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能,这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具,让您可以实现算法和优化模型,使您的学习体验与当前的行业实践密切相关。
University of Illinois Urbana-Champaign
您将获得的技能: PyTorch(机器学习库), 机器学习, 深度学习, 人工智能和机器学习(AI/ML), 图论, 计划发展, 医疗保健, 应用机器学习, 预测建模, 医学科学与研究, 生成模型架构, 图像分析, 张力流, 大数据, Machine Learning 方法, 健康信息学, 监督学习, 无监督学习, 计算机视觉, 人工神经网络
高级设置 · 专项课程 · 1-3 个月

您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
中级 · 专项课程 · 3-6 个月

您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis
初级 · 专项课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: 机器学习算法, 深度学习, 人工智能, 应用机器学习, 生成模型架构, 无监督学习, 张力流, 性能调整, Keras(神经网络库), 图像分析, 自然语言处理, 人工神经网络, 计算机视觉
攻读学位
中级 · 课程 · 1-3 个月
University of Glasgow
您将获得的技能: Deep Learning, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Relational Databases, Electocardiography, Machine Learning, Machine Learning Methods, Applied Machine Learning, Image Analysis
中级 · 专项课程 · 3-6 个月

Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
初级 · 课程 · 1-4 周

IBM
您将获得的技能: PyTorch(机器学习库), 深度学习, 机器学习, Python 程序设计, Machine Learning 方法, 地理空间信息与技术, Keras(神经网络库), 数据管道, 计算机视觉
高级设置 · 课程 · 1-4 周


您将获得的技能: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture
中级 · 课程 · 1-4 周

您将获得的技能: 生成式人工智能, 人工智能, 强化学习, 人工智能和机器学习(AI/ML), 深度学习, 张力流, Machine Learning 方法, 性能调整, Keras(神经网络库), 无监督学习, 自然语言处理, 人工神经网络
中级 · 课程 · 1-3 个月

您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning
高级设置 · 课程 · 1-3 个月

University of Pennsylvania
您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Data Processing, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Network Architecture
中级 · 课程 · 1-4 周