Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network,以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能,这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具,让您可以实现算法和优化模型,使您的学习体验与当前的行业实践密切相关。

您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
初级 · 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

Coursera
您将获得的技能: 模型评估, 递归神经网络 (RNN), 卷积神经网络, 性能调整, Transfer Learning, 迁移学习, Model Evaluation
中级 · 课程 · 1-4 周
University of Glasgow
您将获得的技能: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders
中级 · 专项课程 · 3-6 个月

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

Illinois Tech
您将获得的技能: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Machine Learning
攻读学位
中级 · 专项课程 · 3-6 个月
University of Illinois Urbana-Champaign
您将获得的技能: 人工神经网络, 递归神经网络 (RNN), 应用机器学习, 监督学习, 模型评估, 深度学习, 生成式对抗网络(GANs), 卷积神经网络, 机器学习方法, 健康信息学, 自动编码器, 医疗保健项目管理, 图论, 模型部署, 医学科学与研究, 嵌入, 医疗保健, 机器学习, 大数据, 图像分析, Model Evaluation
高级设置 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 模型评估, 应用机器学习, MLOps(机器学习运营), 深度学习, 人工智能产品战略, 调试, 性能调整, Transfer Learning, 数据驱动决策, 迁移学习, 机器学习, Model Evaluation
初级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
初级 · 专项课程 · 1-3 个月

您将获得的技能: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra
中级 · 课程 · 1-4 周

IBM
您将获得的技能: 人工神经网络, 人工智能, 卷积神经网络, Keras(神经网络库), 递归神经网络 (RNN), 模型评估, 生成式对抗网络(GANs), 强化学习, 机器学习方法, 深度学习, 自动编码器, 降维, Transfer Learning, 迁移学习, 计算机视觉, 无监督学习, 机器学习, Model Evaluation
中级 · 课程 · 1-3 个月

University of Washington
您将获得的技能: 人工智能, 监督学习, 逻辑回归, 统计建模, 应用机器学习, 模型评估, 预测建模, 回归分析, 分类算法, 数据挖掘, 深度学习, 功能工程, 计算机视觉, 数据预处理, 贝叶斯统计, 无监督学习, 图像分析, 机器学习, 统计机器学习, 决策树学习, Model Evaluation
中级 · 专项课程 · 3-6 个月