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
状态：新您将获得的技能: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software
状态：预览Imperial College London
您将获得的技能: Keras (Neural Network Library), Tensorflow, Model Evaluation, Deep Learning, Convolutional Neural Networks, Transfer Learning, Data Preprocessing, Artificial Neural Networks, Computer Vision
Google Cloud
您将获得的技能: 机器学习, 模型评估, 卷积神经网络, 张力流, 人工神经网络, 开发环境, 计算机视觉, 数据持久性, Keras（神经网络库）, 图像分析, 深度学习
状态：新状态：免费试用您将获得的技能: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
状态：免费试用Google Cloud
您将获得的技能: Responsible AI, Prompt Engineering, AI Security, Google Gemini, Gemini, Prompt Patterns, Generative AI, Embeddings, Multimodal Prompts, AI Product Strategy, Model Deployment, Vector Databases, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Data Ethics, Application Security, Natural Language Processing, Recurrent Neural Networks (RNNs), Machine Learning
状态：新状态：免费试用您将获得的技能: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
状态：新状态：预览您将获得的技能: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing
状态：预览Google Cloud
您将获得的技能: Tensorflow, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Generative Model Architectures, Deep Learning, Machine Learning Methods
状态：预览DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning
- 状态：预览
Google Cloud
您将获得的技能: Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Generative AI, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Natural Language Processing
状态：预览您将获得的技能: Keras (Neural Network Library), Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Applied Machine Learning
状态：预览Google Cloud
您将获得的技能: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative AI, Generative Model Architectures, Applied Machine Learning, Natural Language Processing
与 keras 相关的搜索
总之，以下是 10 最受欢迎的 keras 课程
- A Practical Approach to Timeseries Forecasting Using Python: Packt
- TensorFlow 2 시작하기: Imperial College London
- 使用 TensorFlow 的计算机视觉入门: Google Cloud
- Learning Deep Learning: Unit 1: Pearson
- Geliştiriciler için Üretken Yapay Zeka: Google Cloud
- Advanced Machine Learning, Big Data, and Deep Learning: Packt
- Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
- Encoder-Decoder Architecture - Français: Google Cloud
- Modèles de séquence: DeepLearning.AI
- Encoder-Decoder Architecture - Italiano: Google Cloud
