个结果，搜索词为 "convolutional neural networks"
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, 卷积神经网络, 人工神经网络, 深度学习, 数据预处理, Keras（神经网络库）, 迁移学习, PyTorch（机器学习库）, 计算机视觉, 图像分析
状态：免费试用DeepLearning.AI
您将获得的技能: 监督学习, 卷积神经网络, 人工神经网络, 机器学习, 自然语言处理, 张力流, 嵌入, 调试, PyTorch（机器学习库）, 迁移学习, 应用机器学习, 深度学习, Keras（神经网络库）, 计算机视觉, 数据预处理, 人工智能和机器学习（AI/ML）, 拥抱的脸, 性能调整, 图像分析, 递归神经网络 (RNN)
状态：免费试用您将获得的技能: 网络架构, 卷积神经网络, 模型评估, 自然语言处理, Keras（神经网络库）, 深度学习, 人工神经网络, 机器学习, 迁移学习, 回归分析, 分类与回归树 (CART), 图像分析, 递归神经网络 (RNN)
状态：免费试用您将获得的技能: 逻辑回归, 监督学习, Machine Learning 方法, 模型评估, 卷积神经网络, 人工神经网络, 深度学习, PyTorch（机器学习库）, 分类算法, 应用机器学习, 人工智能和机器学习（AI/ML）
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
是什么让您今天来到 Coursera？
状态：免费试用状态：人工智能技能您将获得的技能: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
状态：免费试用MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Synthesis, Performance Tuning, Data Analysis, Network Architecture
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, 卷积神经网络, 模型评估, 深度学习, Keras（神经网络库）, 机器学习, 迁移学习, 数据预处理, 分类算法, 计算机视觉, 应用机器学习, 图像分析
状态：免费试用您将获得的技能: Python 程序设计, 数据管道, 卷积神经网络, 机器学习, 模型评估, 迁移学习, PyTorch（机器学习库）, 计算机视觉, 深度学习, 模型部署, Keras（神经网络库）, 数据预处理, 视觉转换器（ViT）, 地理空间信息与技术
状态：免费试用您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
状态：新状态：免费试用Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
总之，以下是 10 最受欢迎的 convolutional neural networks 课程
- 卷积神经网络: DeepLearning.AI
- 深度学习: DeepLearning.AI
- 使用 Keras 的深度学习和神经网络简介: IBM
- 使用 PyTorch 进行深度学习: IBM
- Foundations of Neural Networks: Johns Hopkins University
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Deep Learning for Computer Vision: MathWorks
- TensorFlow 中的卷积神经网络: DeepLearning.AI
- 使用深度学习的人工智能顶点项目: IBM
