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。

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

DeepLearning.AI
您将获得的技能: Python 程序设计, 应用数学, 深度学习, 衍生产品, 人工神经网络, 可视化(计算机制图), 数学建模, 微积分, 数值分析, 机器学习
中级 · 课程 · 1-4 周

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

DeepLearning.AI
您将获得的技能: 卷积神经网络, 数据预处理, 深度学习, 张力流, PyTorch(机器学习库), 计算机视觉, Keras(神经网络库), Transfer Learning, 人工神经网络, 图像分析
中级 · 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

Imperial College London
您将获得的技能: 卷积神经网络, 数据管道, 贝叶斯统计, 深度学习, 数据预处理, 张力流, 人工神经网络, 概率分布, Transfer Learning, 计算机视觉, Model Evaluation, Keras(神经网络库), 应用机器学习, 模型部署, 自然语言处理, 生成模型架构, 递归神经网络 (RNN), 自动编码器, 监督学习, 图像分析
中级 · 专项课程 · 3-6 个月

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

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

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

Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
中级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model
初级 · 课程 · 1-4 周