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
您将获得的技能: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving
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）, 自然语言处理, 模型评估, 迁移学习, 应用机器学习, 嵌入, Keras（神经网络库）, 递归神经网络 (RNN)
状态：免费试用您将获得的技能: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Evaluation, Data Preprocessing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
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
Coursera
您将获得的技能: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation
状态：预览Simplilearn
您将获得的技能: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning
您将获得的技能: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
状态：免费试用您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning
Google Cloud
您将获得的技能: 卷积神经网络, 机器学习, 深度学习, 迁移学习, 张力流, 应用机器学习, Keras（神经网络库）, 图像分析
总之，以下是 10 最受欢迎的 convolutional neural network 课程
- CNNs with TensorFlow: Basics of Machine Learning: Coursera
- Advanced Generative Adversarial Networks (GANs): Packt
- 利用注意力模型进行自然语言处理: DeepLearning.AI
- Deep Learning with Keras and Practical Applications: Packt
- Advanced RNN Concepts and Projects: Packt
- RNN Architecture and Sentiment Classification: Packt
- 应用生成式对抗网络 (GAN): DeepLearning.AI
- Curso Completo de Deep Learning: Coursera
- Image Generation with AI Training Course: Simplilearn
- Image Classification on Autopilot with AWS AutoGluon: Coursera
