个结果，搜索词为 "keras（神经网络库）"
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 计算机视觉, 卷积神经网络, 拥抱的脸, 数据预处理, 自然语言处理, Keras（神经网络库）, Transfer Learning, 调试, 应用机器学习, 人工神经网络, 深度学习, 性能调整, 递归神经网络 (RNN), 图像分析, 监督学习, 机器学习, 张力流, MLOps（机器学习 Operator）, 嵌入
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
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, Applied Machine Learning, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Artificial Neural Networks, Image Analysis, Artificial Intelligence, Machine Learning, Data Science
状态：新状态：免费试用您将获得的技能: 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
状态：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Model Evaluation, Data Analysis, Responsible AI, Vector Databases, Data Import/Export
状态：新状态：预览您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML)
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 回归分析, 卷积神经网络, 自然语言处理, 自动编码器, 网络架构, Transfer Learning, 深度学习, 人工神经网络, 机器学习, Model Evaluation, Keras（神经网络库）, 递归神经网络 (RNN), 图像分析, 分类与回归树 (CART), 应用机器学习
状态：新状态：免费试用Coursera
您将获得的技能: Data Pipelines, MLOps (Machine Learning Operations), Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Model Evaluation, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Predictive Modeling, Software Engineering, Applied Machine Learning, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
状态：新状态：免费试用您将获得的技能: Model Deployment, AWS SageMaker, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Systems Design, Cloud Computing Architecture, Transfer Learning, Model Evaluation, Cloud Deployment, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)
状态：新状态：免费试用您将获得的技能: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
状态：新状态：免费试用您将获得的技能: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 keras（神经网络库） 课程
- 深度学习: DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- IBM Generative AI Engineering: IBM
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- 使用 Keras 的深度学习和神经网络简介: IBM
- ML Model Training & Validation: Coursera
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- AI Model Development & Deployment: Coursera
