神经网络课程可以帮助您学习架构设计、反向传播、激活函数和优化技术的基础知识。您可以掌握训练模型、调整超参数和评估性能指标的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具,这些工具支持在图像识别、自然语言处理和预测分析等实际应用中实现神经网络。

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

Universidad Austral
您将获得的技能: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning, Algorithms
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Time Series Analysis and Forecasting, Algorithms
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Algorithms, Data Processing
中级 · 课程 · 1-4 周

您将获得的技能: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Data Quality, Generative AI, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Software Visualization, Computer Vision, Dimensionality Reduction, Natural Language Processing, Machine Learning
中级 · 专业证书 · 1-3 个月

您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model
中级 · 专业证书 · 3-6 个月

多位教师
您将获得的技能: 人工智能, 分类与回归树 (CART), 人工智能和机器学习(AI/ML), 监督学习, Scikit-learn (机器学习库), 张力流, Python 程序设计, 深度学习, 无监督学习, 预测建模, 负责任的人工智能, 随机森林算法, 强化学习, Jupyter, 数据伦理, 决策树学习, 机器学习, NumPy, 功能工程, 应用机器学习
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 分类与回归树 (CART), 监督学习, 张力流, 深度学习, 负责任的人工智能, 随机森林算法, 数据伦理, 决策树学习, 性能调整, 机器学习, 人工神经网络
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 人工智能, 张力流, 计算机视觉, 深度学习, Keras(神经网络库), 机器学习, 图像分析, 人工神经网络
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 人工智能, 数据科学, 深度学习, 机器学习, 负责任的人工智能, AI 产品战略, 数据伦理, 战略思维, 人工神经网络
初级 · 课程 · 1-4 周

IBM
您将获得的技能: 数据科学, 大型语言模型, Python 程序设计, LLM 申请, Apache Spark, 生成式人工智能, PyTorch(机器学习库), PySpark, 深度学习, 监督学习, 计算机视觉, 功能工程, Keras(神经网络库), 强化学习, 自然语言处理, 应用机器学习, 机器学习, Jupyter, Prompt Engineering, 无监督学习
攻读学位
中级 · 专业证书 · 3-6 个月