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。

DeepLearning.AI
您将获得的技能: 数据驱动的决策制定, MLOps(机器学习 Operator), 深度学习, 模型评估, 调试, AI 产品战略, 机器学习, 应用机器学习, 性能调整, 迁移学习
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 张力流, 模型评估, 人工神经网络, 深度学习, 卷积神经网络, Keras(神经网络库), 迁移学习
中级 · 课程 · 1-3 个月

您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
初级 · 课程 · 3-6 个月

Imperial College London
您将获得的技能: 概率分布, 抽样(统计), 深度学习, 自动编码器, 张力流, 贝叶斯统计, 应用机器学习, 生成模型架构, 无监督学习, 图像分析
高级设置 · 课程 · 1-3 个月

Pearson
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
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google 云端平台, 张力流, 强化学习, 机器学习, GitHub, Jupyter, 游戏设计
初级 · 项目 · 不超过 2 小时

Pearson
您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
中级 · 课程 · 1-4 周

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

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
高级设置 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
高级设置 · 课程 · 1-3 个月

Intel
您将获得的技能: 可扩展性, 深度学习, 生成对抗网络 (GAN), Machine Learning 方法, 强化学习, 人工神经网络, 卷积神经网络, 自然语言处理, 计算机视觉, 性能调整, 递归神经网络 (RNN), 迁移学习
中级 · 课程 · 1-3 个月