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: PyTorch（机器学习库）, 卷积神经网络, 负责任的人工智能, 人工神经网络, 深度学习, 无监督学习, 生成模型架构, 生成对抗网络 (GAN), 数据伦理, 图像分析
状态：免费试用Google Cloud
您将获得的技能: 计算机视觉, 卷积神经网络, 分类算法, 云 API, 模型评估, 深度学习, 人工神经网络, 数据预处理, Google 云端平台, 应用机器学习, 迁移学习, 小数据, 功能工程, 张力流, 图像分析
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
状态：新状态：免费试用您将获得的技能: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
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：预览Intel
您将获得的技能: 计算机视觉, 卷积神经网络, 深度学习, Machine Learning 方法, 自然语言处理, 迁移学习, 人工神经网络, 强化学习, 生成对抗网络 (GAN), 可扩展性, 性能调整, 递归神经网络 (RNN)
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
您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
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：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 生成式人工智能, 人工神经网络, 自然语言处理, 应用机器学习, 数据预处理, 嵌入, 文本挖掘, 递归神经网络 (RNN), 张力流
您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
总之，以下是 10 最受欢迎的 convolutional neural network 课程
- 构建基本的生成对抗网络 (GAN): DeepLearning.AI
- 使用谷歌云的计算机视觉基础: Google Cloud
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
- Learning Deep Learning: Unit 1: Pearson
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- 实用深度学习入门: Intel
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera
- Object Localization with TensorFlow: Coursera
- Basic Image Classification with TensorFlow: Coursera
- Deep Learning with PyTorch : Image Segmentation : Coursera
