个结果，搜索词为 "keras（神经网络库）"
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：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：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 卷积神经网络, 拥抱的脸, PyTorch（机器学习库）, 数据预处理, 调试, 监督学习, 张力流, 深度学习, 人工神经网络, Transfer Learning, MLOps（机器学习 Operator）, 计算机视觉, 性能调整, 自然语言处理, 应用机器学习, 嵌入, Keras（神经网络库）, 递归神经网络 (RNN), 图像分析
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：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: 机器学习, 网络架构, 卷积神经网络, 回归分析, 深度学习, Model Evaluation, 分类与回归树 (CART), 人工神经网络, Transfer Learning, 自然语言处理, 自动编码器, Keras（神经网络库）, 递归神经网络 (RNN), 应用机器学习, 图像分析
是什么让您今天来到 Coursera？
状态：预览Nanjing University
您将获得的技能: Psychology, Child Development, Human Development, Social Sciences, Sociology, Empathy & Emotional Intelligence, Learning Theory, Cultural Diversity, Mental Health Diseases and Disorders, Behavior Management
状态：新状态：预览您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML)
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, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Continuous Deployment, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)
状态：免费试用IBM
您将获得的技能: 机器学习, 大型语言模型, 视觉转换器（ViT）, Model Evaluation, LLM 申请, 无监督学习, PySpark, PyTorch（机器学习库）, 生成式人工智能, 监督学习, 矢量数据库, 检索-增强生成, 生成模型架构, Transfer Learning, Prompt Engineering, 数据科学, 计算机视觉, Apache Spark, Keras（神经网络库）, Python 程序设计
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture, Algorithms
状态：新状态：免费试用您将获得的技能: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Histogram, Data Presentation, Predictive Modeling, Data Storytelling, Exploratory Data Analysis, Risk Analysis, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library), Statistical Inference
总之，以下是 10 最受欢迎的 keras（神经网络库） 课程
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- 深度学习: DeepLearning.AI
- IBM Generative AI Engineering: IBM
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- 使用 Keras 的深度学习和神经网络简介: IBM
- 心理学与生活: Nanjing University
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- AI Model Development & Deployment: Coursera
- IBM 人工智能工程: IBM
