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
状态：免费试用您将获得的技能: 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
状态：免费试用您将获得的技能: Artificial Intelligence, Python Programming, Machine Learning Methods
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: 调试, 机器学习, 数据驱动的决策制定, 深度学习, 人工智能, 性能调整, MLOps（机器学习 Operator）, 应用机器学习
状态：预览Yonsei University
您将获得的技能: 无监督学习, 机器学习, 深度学习, 企业战略, 自然语言处理, 张力流, 人工智能, 强化学习, 监督学习, 图像分析, 人工神经网络
状态：免费试用DeepLearning.AI
您将获得的技能: 决策树学习, 机器学习, 监督学习, 深度学习, 数据伦理, 负责任的人工智能, 张力流, 随机森林算法, 人工神经网络, 性能调整, 分类与回归树 (CART)
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 机器学习, 无监督学习, 网络架构, 计算机视觉, Python 程序设计, 深度学习, 降维, 预测建模, 应用机器学习, 医学影像, 功能工程, 人工神经网络, 图像分析, 健康信息学
状态：免费试用您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Generative AI, Google Cloud Platform, Tensorflow, Dataflow, Big Data, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Computing
- 状态：免费试用
University of Illinois Urbana-Champaign
您将获得的技能: 图论, 无监督学习, Python 程序设计, 深度学习, PyTorch（机器学习库）, 应用机器学习, 预测建模, 生成模型架构, Machine Learning 方法, 自然语言处理, 图像分析, 人工神经网络, 张力流, 健康信息学, 数据综合
您将获得的技能: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming
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
总之，以下是 10 最受欢迎的 deep learning 课程
- AI & Deep Learning Concepts and Applications: Simplilearn
- NVIDIA: Fundamentals of Deep Learning: Whizlabs
- Practical Deep Learning with Python: Edureka
- Learning Deep Learning: Unit 1: Pearson
- 构建机器学习项目: DeepLearning.AI
- 商业深度学习: Yonsei University
- 高级学习算法: DeepLearning.AI
- 医疗保健领域的深度学习方法: University of Illinois Urbana-Champaign
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- 医疗保健领域的高级深度学习方法: University of Illinois Urbana-Champaign
