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: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression
状态：新状态：免费试用您将获得的技能: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing
状态：免费试用您将获得的技能: 自动编码器, 模型培训, 模型优化, 自然语言处理, 机器学习方法, Keras（神经网络库）, 机器学习, 卷积神经网络, Transfer Learning, 人工神经网络, 深度学习, 回归分析, 网络架构, 应用机器学习, 图像分析, 迁移学习, 递归神经网络 (RNN)
状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
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, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Fine-tuning, Tensorflow, Deep Learning, Model Deployment
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture
状态：新状态：免费试用您将获得的技能: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing
状态：新
状态：免费试用Imperial College London
您将获得的技能: 计算机编程, 自动编码器, 生成式人工智能, 模型培训, 模型优化, 数据验证, 生成模型架构, 监督学习, 贝叶斯统计, Keras（神经网络库）, 数据管道, 张力流, Model Evaluation, 卷积神经网络, Transfer Learning, 深度学习, 应用机器学习, 图像分析, Data Validation, 模型评估, 迁移学习, 递归神经网络 (RNN), 贝叶斯网络
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science
状态：免费试用您将获得的技能: 自动编码器, 生成式人工智能, 模型培训, 无监督学习, 生成式对抗网络（GANs）, 模型优化, 人工智能和机器学习（AI/ML）, 张力流, 生成模型架构, Keras（神经网络库）, 卷积神经网络, Transfer Learning, 深度学习, 应用机器学习, 强化学习, 迁移学习, 时间序列分析和预测
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
- Build & Optimize TensorFlow ML Workflows: Coursera
- 使用 Keras 的深度学习和神经网络简介: IBM
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Advanced Deep Learning Architectures: Edureka
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- Start Neural Networks Advanced Model Architectures: Coursera
- Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
- Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
- 用于深度学习的 TensorFlow 2: Imperial College London
