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：预览Universidad de los Andes
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 人工智能, 概率与统计, 自然语言处理, 预测建模, 模型评估, Machine Learning 方法, 放射诊断学, 医学科学与研究, 磁共振成像, 医学影像, 统计机器学习, 数据预处理, 张力流, 应用机器学习, 风险模型, 图像分析, 深度学习, 机器学习
状态：新状态：免费试用Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
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: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation
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：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
您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming
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: 生成式人工智能, 自然语言处理, 文本挖掘, 应用机器学习, 嵌入, 数据预处理, 人工神经网络, 张力流, 机器学习, 递归神经网络 (RNN)
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, 数据伦理, 无监督学习, 生成模型架构, 生成对抗网络 (GAN), 深度学习, 人工神经网络, 图像分析
总之，以下是 10 最受欢迎的 convolutional neural network 课程
- Introducción al deep learning contemporáneo: Universidad de los Andes
- 用于医疗诊断的人工智能: DeepLearning.AI
- Deep Learning with PyTorch: Coursera
- Practical Deep Learning with Python: Edureka
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- Deep Learning with PyTorch : Image Segmentation : Coursera
- Deep Neural Network for Beginners Using Python: Packt
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
