Deep Reinforcement Learning 课程可以帮助您学习强化学习、神经网络和策略梯度的原理。您可以掌握算法设计、奖励优化和环境模拟方面的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具,这些工具支持实现 AI 模型,以及在复杂环境中训练代理的技术。

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, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
初级 · 专项课程 · 1-3 个月

New York University
您将获得的技能: 机器学习, 模型评估, 回归分析, 深度学习, 衍生产品, 决策树学习, 无监督学习, 金融交易, 预测建模, 统计方法, 监督学习, Scikit Learn(机器学习库), 张力流, Model Evaluation, 强化学习, 马尔可夫模型, 人工神经网络, 应用机器学习, 降维, 市场流动性, 金融市场
中级 · 专项课程 · 3-6 个月

您将获得的技能: 机器学习, 模型评估, 回归分析, 自然语言处理, 深度学习, 卷积神经网络, Transfer Learning, 迁移学习, 分类与回归树 (CART), 网络架构, 生成模型架构, Model Evaluation, 人工神经网络, 递归神经网络 (RNN), Keras(神经网络库), 图像分析
中级 · 课程 · 1-3 个月

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
初级 · 专项课程 · 1-3 个月

Columbia University
您将获得的技能: Algorithm, 数据驱动决策, 机器学习, 深度学习, 统计方法, 算法, 人工智能和机器学习(AI/ML), 概率分布, 强化学习, 模拟, 马尔可夫模型, 决策支持系统
中级 · 课程 · 1-3 个月

您将获得的技能: 生成对抗网络 (GAN), 深度学习, 模型评估, 计算机视觉, 生成式对抗网络(GANs), 卷积神经网络, Transfer Learning, 迁移学习, 自动编码器, 无监督学习, Model Evaluation, 张力流, 强化学习, 递归神经网络 (RNN), Keras(神经网络库), 性能调整
中级 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
初级 · 专项课程 · 1-3 个月

Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
中级 · 专项课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling
中级 · 专项课程 · 1-3 个月

您将获得的技能: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
初级 · 课程 · 1-4 周

IBM
您将获得的技能: 机器学习, 数据管道, 计算机视觉, PyTorch(机器学习库), 卷积神经网络, Python 编程, 视觉转换器(ViT), 模型评估, 深度学习, Transfer Learning, 迁移学习, 数据预处理, 模型部署, Model Evaluation, Keras(神经网络库), 地理空间信息与技术
高级设置 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 计算机视觉, 模型评估, 深度学习, Transfer Learning, 迁移学习, 网络架构, 卷积神经网络, 可视化(计算机制图), 分类算法, Model Evaluation, 张力流, Keras(神经网络库), 图像分析
中级 · 课程 · 1-4 周