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: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
混合 · 课程 · 1-4 周

Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
初级 · 课程 · 1-4 周

您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Prompt Engineering, Artificial Intelligence, Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing
初级 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
初级 · 专项课程 · 1-3 个月

Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 张力流, 移动开发, 嵌入式系统, 安卓开发, iOS 开发, 模型部署, 机器学习, 应用机器学习, Swift 编程, 计算机视觉
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Classification Algorithms, Network Architecture
中级 · 课程 · 1-4 周

New York Institute of Finance
您将获得的技能: 时间序列分析和预测, 风险管理, 投资组合管理, 强化学习, 投资组合风险, 深度学习, 人工神经网络, 人工智能和机器学习(AI/ML), 马尔可夫模型, 应用机器学习, 金融市场, 递归神经网络 (RNN), 金融交易
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 张力流, 生成式人工智能, 人工神经网络, 文本挖掘, 应用机器学习, 机器学习, 自然语言处理, 嵌入, 数据预处理, 递归神经网络 (RNN)
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 人工智能, 决策树学习, 张力流, 深度学习, 模型评估, 人工神经网络, 随机森林算法, 逻辑回归, 机器学习, 应用机器学习, 分类算法, 性能调整, 监督学习, 数据伦理, 迁移学习
初级 · 课程 · 1-4 周