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。

MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
初级 · 专项课程 · 1-3 个月

Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, Natural Language Processing, Deep Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 卷积神经网络, 数据伦理, 生成式人工智能, 图像质量, 生成对抗网络 (GAN), 人工神经网络, Model Evaluation, 信息隐私, 机器学习, 生成模型架构, 无监督学习, 数据综合, PyTorch(机器学习库), 图像分析, 深度学习, 负责任的人工智能
中级 · 专项课程 · 1-3 个月

Imperial College London
您将获得的技能: 概率分布, 自动编码器, 贝叶斯统计, 深度学习, 生成模型架构, 应用机器学习, 抽样(统计), 无监督学习, 张力流, 图像分析
高级设置 · 课程 · 1-3 个月

IBM
您将获得的技能: 数据管道, 卷积神经网络, Python 程序设计, 计算机视觉, 视觉转换器(ViT), 深度学习, 机器学习, 数据预处理, Model Evaluation, Keras(神经网络库), 模型部署, 地理空间信息与技术, Transfer Learning, PyTorch(机器学习库)
高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
中级 · 课程 · 1-4 周

您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 概率与统计, 卷积神经网络, Machine Learning 方法, 磁共振成像, Model Evaluation, 统计机器学习, 人工智能, 机器学习, 数据预处理, 预测建模, 张力流, 应用机器学习, 自然语言处理, 放射诊断学, 医学影像, 医学科学与研究, 图像分析, 风险模型, 深度学习
中级 · 课程 · 1-4 周

MathWorks
您将获得的技能: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
初级 · 专项课程 · 1-3 个月

Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
中级 · 专项课程 · 1-4 周

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
中级 · 专项课程 · 3-6 个月