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
您将获得的技能: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision
您将获得的技能: Text Mining, Data Cleansing, PyTorch (Machine Learning Library), Data Manipulation, Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
状态：免费试用University of Michigan
您将获得的技能: 回归分析, 预测建模, Scikit-learn （机器学习库）, 无监督学习, 监督学习, 降维, 机器学习, Python 程序设计, 决策树学习, 功能工程, 应用机器学习, 随机森林算法
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：预览DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Machine Learning, Supervised Learning, Linear Algebra, Calculus
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
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 预测建模, 无监督学习, 降维, 机器学习, 计算机视觉, 医学影像, 网络架构, 功能工程, Python 程序设计, 健康信息学, 应用机器学习, 图像分析, 人工神经网络, 深度学习
- 状态：免费试用
University of Illinois Urbana-Champaign
您将获得的技能: 预测建模, 张力流, 无监督学习, 数据综合, 人工神经网络, 图论, PyTorch（机器学习库）, Python 程序设计, 深度学习, 自然语言处理, Machine Learning 方法, 生成模型架构, 健康信息学, 应用机器学习, 图像分析
您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning
您将获得的技能: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Performance Analysis, Machine Learning, Real Estate, Regression Analysis, Python Programming
状态：免费试用Imperial College London
您将获得的技能: 概率与统计, 无监督学习, 张力流, 人工神经网络, 贝叶斯统计, 降维, 机器学习, 深度学习, 图像分析, 生成模型架构
您将获得的技能: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision
总之，以下是 10 最受欢迎的 deep learning 课程
- Deep Learning with PyTorch : Siamese Network: Coursera
- Sentiment Analysis with Deep Learning using BERT: Coursera
- Python 中的应用机器学习: University of Michigan
- Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
- Neuronale Netze und Deep Learning: DeepLearning.AI
- Foundations of Deep Learning and Neural Networks: Packt
- 医疗保健领域的深度学习方法: University of Illinois Urbana-Champaign
- 医疗保健领域的高级深度学习方法: University of Illinois Urbana-Champaign
- Deep Learning with PyTorch : Object Localization: Coursera
- Deep Learning for Real Estate Price Prediction: Coursera
