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), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Customer Analysis, Predictive Modeling, Data Processing, Feature Engineering, Predictive Analytics, Exploratory Data Analysis, Data Cleansing, Software Installation
状态：新状态：免费试用您将获得的技能: Tensorflow, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Data Processing
状态：新状态：预览您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Data Processing, Data Transformation
状态：免费试用DeepLearning.AI
您将获得的技能: 数据操作, 应用数学, 数据科学, 降维, NumPy, 机器学习, Python 程序设计, 数据转换, 数学建模, Machine Learning 方法, 线性代数
状态：免费试用IBM
您将获得的技能: 回归分析, 机器学习算法, 预测建模, 监督学习, 统计推理, 数据访问, 探索性数据分析, 无监督学习, 数据科学, Scikit-learn （机器学习库）, 机器学习, 统计假设检验, 降维, 应用机器学习, 数据清理, 数据质量, 统计建模, 功能工程, 数据分析, 分类与回归树 (CART)
状态：免费试用您将获得的技能: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging
状态：免费试用DeepLearning.AI
您将获得的技能: 回归分析, 人工智能, 监督学习, 预测建模, Scikit-learn （机器学习库）, NumPy, 机器学习, Python 程序设计, Jupyter, 数据转换, 统计建模, 应用机器学习, 功能工程, 分类与回归树 (CART)
状态：免费试用您将获得的技能: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
状态：预览University of Colorado Boulder
您将获得的技能: 监督学习, 张力流, 计算机视觉, 机器学习, 性能调整, 人工智能和机器学习（AI/ML）, 应用机器学习, 图像分析, 人工神经网络, 深度学习
状态：免费试用您将获得的技能: Keras (Neural Network Library), Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Network Architecture, Data Processing
状态：新状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
总之，以下是 10 最受欢迎的 deep learning 课程
- Deep Learning with PyTorch : GradCAM: Coursera
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- Deep Learning: Build & Optimize Neural Networks: EDUCBA
- 机器学习和数据科学线性代数: DeepLearning.AI
- IBM 机器学习入门: IBM
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- 监督式机器学习：回归与分类: DeepLearning.AI
- Advanced Machine Learning and Deep Learning: Packt
- 计算机视觉的深度学习应用: University of Colorado Boulder
