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Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, 卷积神经网络, 深度学习, 机器学习, 分类算法, 模型评估, 迁移学习, 应用机器学习, 张力流, 数据预处理, Keras（神经网络库）, 图像分析
状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
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：新状态：预览您将获得的技能: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
状态：新状态：免费试用您将获得的技能: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing
状态：免费试用DeepLearning.AI
您将获得的技能: Machine Learning 方法, 模型评估, 深度学习, 人工神经网络, 数据预处理, 验证和确认, 张力流, 性能调整
您将获得的技能: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
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
University of Colorado Boulder
您将获得的技能: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Network Architecture
总之，以下是 10 最受欢迎的 convolutional neural network 课程
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- TensorFlow 中的卷积神经网络: DeepLearning.AI
- Attention Mechanisms and Transformer Models Course: Simplilearn
- Natural Language Processing - Deep Learning Models in Python: Packt
- 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
- Deep Learning with R: Build & Predict Neural Networks: EDUCBA
- Programming Generative AI: Unit 2: Pearson
- 改进深度神经网络：超参数调整、正则化和优化: DeepLearning.AI
- Deep Neural Network for Beginners Using Python: Packt
