卷积神经网络课程
卷积神经网络课程可以帮助您学习图像分类、Object Detection 和 Feature Extraction 技术。您可以掌握优化神经网络 Architecture、实施数据 Augmentation 策略以及针对特定任务对模型进行微调的技能。许多课程介绍了 TensorFlow 和 Keras 等工具，这些工具支持构建和训练 CNN，以及评估模型性能和部署计算机视觉和 AI 驱动解决方案等领域应用的方法。
热门卷积神经网络课程和认证
状态：免费试用DeepLearning.AI
您将获得的技能: 概率与统计, 卷积神经网络, 机器学习, 深度学习, 预测建模, 自然语言处理, 模型评估, Machine Learning 方法, 放射诊断学, 磁共振成像, 医学科学与研究, 统计机器学习, 张力流, 应用机器学习, 数据预处理, 人工智能, 医学影像, 风险模型, 图像分析
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 生成式人工智能, 人工神经网络, 深度学习, 迁移学习, 生成模型架构, 张力流, 生成对抗网络 (GAN), 图像分析, 自动编码器
Coursera
您将获得的技能: Python 程序设计, PyTorch（机器学习库）, 卷积神经网络, 深度学习, 生成对抗网络 (GAN), 图像分析
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming
状态：预览DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Model Evaluation
状态：免费试用您将获得的技能: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 卷积神经网络, 生成式人工智能, 负责任的人工智能, 数据综合, 信息隐私, 生成对抗网络 (GAN), 无监督学习, 数据伦理, 图像分析
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning
总之，以下是 10 最受欢迎的 convolutional neural network 课程
- 用于医疗诊断的人工智能: DeepLearning.AI
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- 使用 TensorFlow 进行生成式深度学习: DeepLearning.AI
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera
- Practical Deep Learning with Python: Edureka
- Deep Learning with PyTorch : Image Segmentation : Coursera
- Réseaux neuronaux convolutifs: DeepLearning.AI
- Foundations of Deep Learning and Neural Networks: Packt
- Learning Deep Learning: Unit 2: Pearson
- Advanced Generative Adversarial Networks (GANs): Packt
