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: 卷积神经网络, 迁移学习, 数据预处理, Keras（神经网络库）, 计算机视觉, PyTorch（机器学习库）, 张力流, 深度学习, 人工神经网络, 图像分析
状态：免费试用您将获得的技能: 卷积神经网络, 迁移学习, Keras（神经网络库）, 模型评估, 回归分析, 机器学习, 自然语言处理, 递归神经网络 (RNN), 深度学习, 人工神经网络, 分类与回归树 (CART), 图像分析, 网络架构
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 迁移学习, 数据预处理, 人工智能和机器学习（AI/ML）, 计算机视觉, 监督学习, PyTorch（机器学习库）, 拥抱的脸, 调试, Keras（神经网络库）, 机器学习, 应用机器学习, 递归神经网络 (RNN), 性能调整, 深度学习, 张力流, 人工神经网络, 自然语言处理, 嵌入, 图像分析
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
状态：免费试用您将获得的技能: 卷积神经网络, 分类算法, 人工智能和机器学习（AI/ML）, Machine Learning 方法, 监督学习, 模型评估, PyTorch（机器学习库）, 逻辑回归, 应用机器学习, 深度学习, 人工神经网络
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
是什么让您今天来到 Coursera？
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 迁移学习, 分类算法, 计算机视觉, 模型评估, Keras（神经网络库）, 应用机器学习, 机器学习, 数据预处理, 张力流, 深度学习, 图像分析
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：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 Visualization, Data Synthesis, Performance Tuning, Data Analysis
状态：免费试用您将获得的技能: Python 程序设计, 卷积神经网络, 迁移学习, 模型部署, 数据管道, 数据预处理, 计算机视觉, 模型评估, PyTorch（机器学习库）, 机器学习, Keras（神经网络库）, 深度学习, 视觉转换器（ViT）, 地理空间信息与技术
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
- 使用 Keras 的深度学习和神经网络简介: IBM
- 深度学习: DeepLearning.AI
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- 使用 PyTorch 进行深度学习: IBM
- Foundations of Neural Networks: Johns Hopkins University
- TensorFlow 中的卷积神经网络: DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- Deep Learning for Computer Vision: MathWorks
