深度学习课程
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。
热门 Deep Learning 课程和认证
状态：免费试用您将获得的技能: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)
状态：免费试用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
状态：免费试用您将获得的技能: 机器学习, Machine Learning 方法, 计算机视觉, Python 程序设计, 数据管道, 深度学习, PyTorch（机器学习库）, Keras（神经网络库）, 地理空间信息与技术
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 计算机视觉, 深度学习, Keras（神经网络库）, 人工智能, 张力流, 人工神经网络, 图像分析
状态：免费试用您将获得的技能: 生成式人工智能, 人工智能和机器学习（AI/ML）, 无监督学习, 深度学习, 人工智能, 张力流, Machine Learning 方法, 自然语言处理, 强化学习, 人工神经网络, Keras（神经网络库）, 性能调整
状态：免费试用您将获得的技能: 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
状态：免费试用您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm
状态：免费试用您将获得的技能: 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
状态：免费试用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
状态：新状态：免费试用Coursera
您将获得的技能: Network Architecture
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University of Washington
您将获得的技能: 贝叶斯统计, 回归分析, 机器学习, 监督学习, 无监督学习, 文本挖掘, 机器学习算法, 计算机视觉, 深度学习, 预测建模, 功能工程, 人工智能, 统计机器学习, 大数据, 图像分析, 统计建模, 预测分析, 数据挖掘, 分类与回归树 (CART), 应用机器学习
总之，以下是 10 最受欢迎的 deep learning 课程
- Introduction to Deep Learning for Computer Vision: MathWorks
- Informed Clinical Decision Making using Deep Learning: University of Glasgow
- 使用深度学习的人工智能顶点项目: IBM
- 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
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- AI ML with Deep Learning and Supervised Models: Simplilearn
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Deep Learning Essentials: University of Pennsylvania
- Deep Learning with PyTorch: Coursera
