个结果，搜索词为 "convolutional neural networks"
DeepLearning.AI
您将获得的技能: 深度学习, 卷积神经网络, PyTorch（机器学习库）, 数据预处理, 迁移学习, 张力流, Keras（神经网络库）, 计算机视觉, 图像分析, 人工神经网络
DeepLearning.AI
您将获得的技能: 卷积神经网络, Python 编程, 深度学习, 递归神经网络 (RNN), 微积分, 线性代数, 监督学习, 应用机器学习, 人工神经网络
您将获得的技能: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning
DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 深度学习, 卷积神经网络, 拥抱的脸, 自然语言处理, 迁移学习, 数据预处理, MLOps（机器学习运营）, 张力流, Keras（神经网络库）, 计算机视觉, 性能调整, 图像分析, 机器学习, 监督学习, 递归神经网络 (RNN), 调试, 嵌入, 应用机器学习, 人工神经网络
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
您将获得的技能: 深度学习, 卷积神经网络, 分类与回归树 (CART), 迁移学习, 模型评估, 自然语言处理, 网络架构, Keras（神经网络库）, 回归分析, 自动编码器, 图像分析, 应用机器学习, 递归神经网络 (RNN), 机器学习, 人工神经网络
是什么让您今天来到 Coursera？
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
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
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
您将获得的技能: 深度学习, PyTorch（机器学习库）, 模型评估, 卷积神经网络, 应用机器学习, 人工神经网络, 监督学习, 分类算法
DeepLearning.AI
您将获得的技能: 深度学习, 模型评估, 卷积神经网络, 迁移学习, 数据预处理, 张力流, Keras（神经网络库）, 分类算法, 计算机视觉, 图像分析, 应用机器学习, 机器学习
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
总之，以下是 10 最受欢迎的 convolutional neural networks 课程
- 卷积神经网络: DeepLearning.AI
- 神经网络与深度学习: DeepLearning.AI
- Deep Learning and Advanced Techniques: Packt
- 深度学习: DeepLearning.AI
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- 使用 Keras 的深度学习和神经网络简介: IBM
- Foundations of Neural Networks: Johns Hopkins University
- Start Neural Networks Advanced Model Architectures: Coursera
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- 使用 PyTorch 进行深度学习: IBM
