个结果，搜索词为 "keras (neural network library)"
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: 回归分析, Model Evaluation, 卷积神经网络, 深度学习, 分类与回归树 (CART), 人工神经网络, Transfer Learning, 机器学习, 网络架构, 自然语言处理, 自动编码器, 图像分析, 应用机器学习, 递归神经网络 (RNN), Keras（神经网络库）
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：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: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning
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？
状态：免费试用Imperial College London
您将获得的技能: Model Evaluation, 卷积神经网络, 计算机视觉, 贝叶斯统计, 监督学习, 数据预处理, 深度学习, 数据管道, 人工神经网络, Transfer Learning, 概率分布, 递归神经网络 (RNN), 模型部署, 自动编码器, 应用机器学习, 生成模型架构, 图像分析, 自然语言处理, 张力流, 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：新状态：免费试用您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
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: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing
状态：免费试用Google Cloud
您将获得的技能: Model Evaluation, MLOps（机器学习 Operator）, 数据转换, 深度学习, 数据预处理, 云部署, 数据管道, 人工神经网络, Google 云端平台, 模型部署, 功能工程, Python 程序设计, 机器学习, 张力流, Keras（神经网络库）
总之，以下是 10 最受欢迎的 keras (neural network library) 课程
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- 使用 Keras 的深度学习和神经网络简介: IBM
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Design and Build Custom Neural Networks: Coursera
- Start Neural Networks Advanced Model Architectures: Coursera
- 用于深度学习的 TensorFlow 2: Imperial College London
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- AI Deep Learning Projects with TensorFlow: EDUCBA
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
