Keras 课程
Keras 课程可以帮助您学习神经网络设计、模型训练和性能评估技术。您可以掌握优化 Hyperparameter、实施卷积层和递归层以及在各种应用中使用 Transfer Learning 的技能。许多课程介绍了 TensorFlow 和 Python 等工具，这些工具支持开发 AI 模型并将其部署到实际工作中。
热门 Keras 课程和认证
您将获得的技能: 卷积神经网络, 自动编码器, 深度学习, 自然语言处理, Keras（神经网络库）, 递归神经网络 (RNN), 模型培训, 人工神经网络, 应用机器学习, 网络架构, 模型优化, Transfer Learning, 机器学习, 图像分析, 回归分析, 机器学习方法, 迁移学习
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
您将获得的技能: 卷积神经网络, 生成式对抗网络（GANs）, 深度学习, 模型培训, 自动编码器, 生成式人工智能, Keras（神经网络库）, 时间序列分析和预测, 应用机器学习, 人工智能和机器学习（AI/ML）, 模型优化, 无监督学习, Transfer Learning, 迁移学习, 生成模型架构, 张力流, 强化学习
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
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
IBM
您将获得的技能: Prompt Engineering, 计算机视觉, Python 编程, 数据科学, Keras（神经网络库）, 大型语言建模, 生成式人工智能, PySpark, 及时的工程工具, 及时工程, 微调, 无监督学习, Transfer Learning, Model Evaluation, 机器学习, 检索-增强生成, 矢量数据库, 迁移学习, 视觉转换器（ViT）, 模型评估, PyTorch（机器学习库）, Apache Spark, 生成模型架构
是什么让您今天来到 Coursera？
Imperial College London
您将获得的技能: 计算机编程, 卷积神经网络, 深度学习, 自动编码器, 生成式人工智能, 应用机器学习, 模型培训, Keras（神经网络库）, 递归神经网络 (RNN), 数据管道, 数据验证, 模型优化, Transfer Learning, Model Evaluation, 图像分析, Data Validation, 监督学习, 贝叶斯网络, 迁移学习, 贝叶斯统计, 模型评估, 生成模型架构, 张力流
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
您将获得的技能: Model Training, Application Development, Predictive Modeling, Model Optimization
您将获得的技能: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
您将获得的技能: Classification And Regression Tree (CART), Dashboard Creation, Dashboard, Decision Intelligence, Descriptive Statistics, Root Cause Analysis, Data Analysis, Predictive Modeling, Advanced Analytics, Tableau Software, Scikit Learn (Machine Learning Library), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Apache Spark, Keras (Neural Network Library), Retrieval-Augmented Generation, Reinforcement Learning, Apache Kafka, SQL
您将获得的技能: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Programming Principles
总之，以下是 10 最受欢迎的 keras 课程
- 使用 Keras 的深度学习和神经网络简介: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 使用 Keras 和 Tensorflow 进行深度学习: IBM
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- IBM 人工智能工程: IBM
- 用于深度学习的 TensorFlow 2: Imperial College London
- Start Neural Networks Advanced Model Architectures: Coursera
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- Statistical Inference & Predictive Modeling Foundations: Coursera
