个结果，搜索词为 "keras (neural network library)"
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：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
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: 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: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
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
是什么让您今天来到 Coursera？
状态：免费试用Imperial College London
您将获得的技能: 概率分布, 模型评估, 迁移学习, 贝叶斯统计, 卷积神经网络, 自然语言处理, 数据管道, 计算机视觉, 监督学习, 自动编码器, 人工神经网络, Keras（神经网络库）, 递归神经网络 (RNN), 深度学习, 模型部署, 数据预处理, 图像分析, 张力流, 应用机器学习, 生成模型架构
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Google Cloud
您将获得的技能: 模型评估, Google 云端平台, 机器学习, 数据管道, Python 程序设计, Keras（神经网络库）, 人工神经网络, MLOps（机器学习 Operator）, 数据预处理, 数据转换, 模型部署, 深度学习, 张力流, 云部署, 功能工程
状态：免费试用DeepLearning.AI
您将获得的技能: 模型评估, 迁移学习, 卷积神经网络, Keras（神经网络库）, 计算机视觉, 可视化（计算机制图）, 分类算法, 深度学习, 图像分析, 张力流, 网络架构
状态：免费试用DeepLearning.AI
您将获得的技能: 时间序列分析和预测, 卷积神经网络, 预测建模, 机器学习, 预测, 人工神经网络, 深度学习, 数据预处理, 应用机器学习, 递归神经网络 (RNN), 张力流
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 keras (neural network library) 课程
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 使用 Keras 的深度学习和神经网络简介: IBM
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- 用于深度学习的 TensorFlow 2: Imperial College London
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- 在 Google Cloud 上使用 Keras 构建、训练和部署 ML 模型: Google Cloud
- 利用 TensorFlow 实现高级计算机视觉: DeepLearning.AI
