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

您将获得的技能: Vision Transformer (ViT), Transfer Learning, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Distributed Computing, Performance Tuning, Scalability, Computer Vision
中级 · 课程 · 1-4 周

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: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning
中级 · 课程 · 1-4 周

Whizlabs
您将获得的技能: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods
中级 · 课程 · 1-4 周

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

Simplilearn
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
初级 · 专项课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling
中级 · 专项课程 · 1-3 个月

您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, PyTorch (Machine Learning Library), Model Evaluation, Embeddings, Artificial Neural Networks, Convolutional Neural Networks, Transfer Learning, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Image Quality, Performance Analysis
初级 · 课程 · 1-4 周

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

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

Coursera
您将获得的技能: Model Evaluation, Transfer Learning, 卷积神经网络, 迁移学习, 性能调整, 递归神经网络 (RNN), 模型评估
中级 · 课程 · 1-4 周