个结果，搜索词为 "transfer learning"
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, 迁移学习, 自然语言处理, 张力流, PyTorch（机器学习库）, 拥抱的脸, Keras（神经网络库）, 递归神经网络 (RNN), 深度学习, MLOps（机器学习运营）, 卷积神经网络, 数据预处理, 性能调整, 调试, 监督学习, 应用机器学习, 图像分析, 机器学习, 人工神经网络, 嵌入
状态：免费试用MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
您将获得的技能: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
是什么让您今天来到 Coursera？
状态：免费试用IBM
您将获得的技能: 计算机视觉, 自动编码器, 迁移学习, 降维, 机器学习方法, 人工智能, Keras（神经网络库）, 深度学习, 强化学习, 模型评估, 卷积神经网络, 无监督学习, 生成式对抗网络（GANs）, 机器学习, 人工神经网络, 递归神经网络 (RNN)
状态：新状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
状态：免费试用多位教师
您将获得的技能: 分类算法, 迁移学习, 张力流, 人工智能, 强化学习, 随机森林算法, 预测建模, Jupyter, 数据伦理, 模型评估, 决策树学习, 数据预处理, 监督学习, 功能工程, Scikit Learn（机器学习库）, NumPy, 无监督学习, 深度学习, 应用机器学习, 机器学习
状态：免费试用University of Alberta
您将获得的技能: 算法, 概率分布, 抽样（统计）, 模型评估, 人工智能和机器学习（AI/ML）, 人工智能, 马尔可夫模型, 深度学习, 强化学习, 功能工程, 监督学习, 性能调整, 伪代码, 性能测试, 机器学习算法, 模拟, 机器学习, 人工神经网络, 线性代数
状态：新状态：免费试用您将获得的技能: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
状态：新状态：预览Whizlabs
您将获得的技能: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods
总之，以下是 10 最受欢迎的 transfer learning 课程
- Sequence Modeling, Transformers, and Transfer Learning: Packt
- 深度学习: DeepLearning.AI
- Deep Learning for Computer Vision: MathWorks
- Transfer Learning for NLP with TensorFlow Hub: Coursera
- Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
- Deep Learning with Real-World Projects: Packt
- 深度学习和强化学习: IBM
- Fine-tune Multimodal Models with Transfer Learning: Coursera
- 机器学习: DeepLearning.AI
- 强化学习: University of Alberta
