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。

University of Washington
您将获得的技能: 机器学习, 分类算法, 机器学习算法, 文本挖掘, 统计建模, 监督学习, 模型评估, 统计机器学习, 回归分析, 逻辑回归, 贝叶斯统计, 决策树学习, 数据预处理, 数据挖掘, 深度学习, 应用机器学习, 无监督学习, 功能工程, 预测建模, AI 个性化服务
中级 · 专项课程 · 3-6 个月

MathWorks
您将获得的技能: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 机器学习, 卷积神经网络, 人工智能, 计算机视觉, 数据处理, 可扩展性, 深度学习, 人工神经网络, 张力流, 图像分析
中级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence
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: 卷积神经网络, 计算机视觉, 迁移学习, 时间序列分析和预测, 强化学习, 生成式人工智能, Keras(神经网络库), 生成对抗网络 (GAN), 无监督学习, 递归神经网络 (RNN), 深度学习, 张力流
中级 · 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

University of Colorado Boulder
您将获得的技能: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Network Architecture
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
混合 · 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

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

IBM
您将获得的技能: PyTorch(机器学习库), 机器学习, 卷积神经网络, 计算机视觉, 迁移学习, 模型部署, 视觉转换器(ViT), 模型评估, 深度学习, Keras(神经网络库), Python 程序设计, 数据预处理
高级设置 · 课程 · 1-4 周