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：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
状态：免费试用您将获得的技能: 卷积神经网络, 计算机视觉, 自动编码器, 强化学习, 生成对抗网络 (GAN), Keras（神经网络库）, 递归神经网络 (RNN), Model Evaluation, 性能调整, 无监督学习, 张力流, Transfer Learning, 深度学习
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, Model Evaluation, Keras（神经网络库）, 深度学习, 数据预处理, 应用机器学习, 机器学习, 张力流, Transfer Learning, 分类算法, 图像分析
Coursera
您将获得的技能: Python 程序设计, 卷积神经网络, 生成对抗网络 (GAN), 深度学习, PyTorch（机器学习库）, 图像分析
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, Model Deployment, Network Architecture
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
Edge Impulse
您将获得的技能: Python 程序设计, 计算机编程, 卷积神经网络, 数据伦理, 计算机视觉, 模型部署, 人工智能和机器学习（AI/ML）, Model Evaluation, 人工神经网络, 数据预处理, 嵌入式系统, 机器学习, 应用机器学习, Transfer Learning, 图像分析, 深度学习
状态：免费试用Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
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
状态：免费试用您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
状态：新状态：免费试用您将获得的技能: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
总之，以下是 10 最受欢迎的 convolutional neural network 课程
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- TensorFlow 中的卷积神经网络: DeepLearning.AI
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera
- Deep Learning for Natural Language Processing: University of Colorado Boulder
- Réseaux neuronaux et Deep Learning: DeepLearning.AI
- 计算机视觉与嵌入式机器学习: Edge Impulse
- AI & Deep Learning Concepts and Applications: Simplilearn
- Tweet Emotion Recognition with TensorFlow: Coursera
