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。

DeepLearning.AI
您将获得的技能: 嵌入, 生成式人工智能, 人工神经网络, 数据预处理, 机器学习, 应用机器学习, 自然语言处理, 递归神经网络 (RNN), 张力流, 文本挖掘
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Evaluation, Data Preprocessing
高级设置 · 课程 · 1-3 个月

Simplilearn
您将获得的技能: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning
初级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 数据伦理, 卷积神经网络, 生成式人工智能, 生成对抗网络 (GAN), 信息隐私, 无监督学习, 数据综合, PyTorch(机器学习库), 图像分析, 负责任的人工智能
中级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
中级 · 课程 · 3-6 个月

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
中级 · 课程 · 1-4 周

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
中级 · 课程 · 1-4 周

您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
混合 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Cloud Computing
中级 · 项目 · 不超过 2 小时

Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月