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。

Coursera
您将获得的技能: Model Deployment, AWS SageMaker, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Systems Design, Cloud Computing Architecture, Transfer Learning, Model Evaluation, Cloud Deployment, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: 数据管道, Google 云端平台, Python 程序设计, 人工神经网络, Keras(神经网络库), 数据转换, 深度学习, 模型部署, 机器学习, MLOps(机器学习 Operator), 数据预处理, 云部署, 功能工程, 张力流, Model Evaluation
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 计算机视觉, PyTorch(机器学习库), 拥抱的脸, 调试, 张力流, 人工神经网络, 卷积神经网络, 监督学习, 递归神经网络 (RNN), Keras(神经网络库), Transfer Learning, 嵌入, 机器学习, 深度学习, 应用机器学习, MLOps(机器学习 Operator), 数据预处理, 性能调整, 自然语言处理, 图像分析
攻读学位
中级 · 专项课程 · 3-6 个月

您将获得的技能: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Histogram, Data Presentation, Predictive Modeling, Data Storytelling, Exploratory Data Analysis, Risk Analysis, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library), Statistical Inference
中级 · 专项课程 · 3-6 个月
DeepLearning.AI
您将获得的技能: 生成式人工智能, 计算机视觉, 分类算法, 预测, 人工神经网络, 张力流, 卷积神经网络, 嵌入, 递归神经网络 (RNN), Keras(神经网络库), 深度学习, 机器学习, 预测建模, Transfer Learning, Model Evaluation, 自然语言处理, 应用机器学习, 数据预处理, 图像分析, 时间序列分析和预测
中级 · 专业证书 · 3-6 个月

DeepLearning.AI
您将获得的技能: PyTorch(机器学习库), 分类算法, 监督学习, 文本挖掘, Algorithm, 嵌入, 功能工程, 统计机器学习, 人工神经网络, 递归神经网络 (RNN), Keras(神经网络库), 深度学习, Transfer Learning, 数据预处理, 张力流, 马尔可夫模型, Machine Learning 方法, 应用机器学习, 自然语言处理, 降维
中级 · 专项课程 · 3-6 个月

Packt
您将获得的技能: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
中级 · 专项课程 · 1-3 个月

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
初级 · 专项课程 · 1-3 个月

Packt
您将获得的技能: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming
高级设置 · 专项课程 · 1-3 个月

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
中级 · 课程 · 1-4 周

您将获得的技能: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
混合 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
中级 · 课程 · 1-4 周