个结果，搜索词为 "keras（神经网络库）"
状态：新状态：预览您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML)
状态：免费试用状态：人工智能技能您将获得的技能: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing
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：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: 迁移学习, PyTorch（机器学习库）, 机器学习, 调试, 卷积神经网络, 自然语言处理, 监督学习, 拥抱的脸, MLOps（机器学习 Operator）, Keras（神经网络库）, 递归神经网络 (RNN), 计算机视觉, 深度学习, 数据预处理, 性能调整, 嵌入, 图像分析, 人工神经网络, 应用机器学习, 张力流
状态：免费试用您将获得的技能: 回归分析, 模型评估, 分类与回归树 (CART), 自然语言处理, 卷积神经网络, Keras（神经网络库）, 迁移学习, 机器学习, 人工神经网络, 自动编码器, 深度学习, 图像分析, 递归神经网络 (RNN), 应用机器学习, 网络架构
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 生成对抗网络 (GAN), 模型评估, 生成式人工智能, 卷积神经网络, 迁移学习, Machine Learning 方法, 强化学习, 计算机视觉, 自动编码器, 性能调整, Keras（神经网络库）, 递归神经网络 (RNN), 人工神经网络, 无监督学习, 张力流, 人工智能和机器学习（AI/ML）, 深度学习
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, 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
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), Large Language Modeling, Natural Language Processing, Embeddings, AI Personalization, Network Model, Network Architecture, Linear Algebra
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 检索-增强生成, 迁移学习, PyTorch（机器学习库）, Keras（神经网络库）, 机器学习, 模型评估, 生成模型架构, 计算机视觉, 视觉转换器（ViT）, Python 程序设计, 监督学习, Apache Spark, 大型语言模型, LLM 申请, Prompt Engineering, 数据科学, 无监督学习, 矢量数据库, PySpark
状态：免费试用您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
状态：免费试用您将获得的技能: 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
总之，以下是 10 最受欢迎的 keras（神经网络库） 课程
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- 深度学习: DeepLearning.AI
- 使用 Keras 的深度学习和神经网络简介: IBM
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
- IBM 人工智能工程: IBM
