深度学习课程
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。
热门 Deep Learning 课程和认证
状态：免费试用DeepLearning.AI
您将获得的技能: 迁移学习, PyTorch（机器学习库）, 机器学习, 调试, 卷积神经网络, 自然语言处理, 监督学习, 拥抱的脸, MLOps（机器学习 Operator）, Keras（神经网络库）, 递归神经网络 (RNN), 计算机视觉, 深度学习, 数据预处理, 性能调整, 嵌入, 图像分析, 人工神经网络, 应用机器学习, 张力流
状态：免费试用状态：人工智能技能您将获得的技能: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing
状态：新状态：预览您将获得的技能: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
状态：免费试用DeepLearning.AI
您将获得的技能: 微积分, 卷积神经网络, 监督学习, 人工神经网络, 递归神经网络 (RNN), Python 程序设计, 线性代数, 深度学习, 应用机器学习
状态：免费试用您将获得的技能: 卷积神经网络, PyTorch（机器学习库）, 模型评估, Machine Learning 方法, 逻辑回归, 监督学习, 分类算法, 人工神经网络, 深度学习, 应用机器学习, 人工智能和机器学习（AI/ML）
状态：免费试用多位教师
您将获得的技能: 模型评估, 迁移学习, 机器学习, 预测建模, NumPy, Scikit-learn （机器学习库）, 监督学习, 强化学习, 分类算法, 人工智能, Jupyter, 决策树学习, 无监督学习, 张力流, 随机森林算法, 数据伦理, 深度学习, 数据预处理, 应用机器学习, 功能工程
是什么让您今天来到 Coursera？
状态：新状态：免费试用状态：人工智能技能DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
状态：免费试用您将获得的技能: 回归分析, 模型评估, 分类与回归树 (CART), 自然语言处理, 卷积神经网络, Keras（神经网络库）, 迁移学习, 机器学习, 人工神经网络, 自动编码器, 深度学习, 图像分析, 递归神经网络 (RNN), 应用机器学习, 网络架构
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
状态：免费试用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
状态：免费试用Imperial College London
您将获得的技能: 概率分布, 模型评估, 迁移学习, 贝叶斯统计, 卷积神经网络, 自然语言处理, 数据管道, 计算机视觉, 监督学习, 自动编码器, 人工神经网络, Keras（神经网络库）, 递归神经网络 (RNN), 深度学习, 模型部署, 数据预处理, 图像分析, 张力流, 应用机器学习, 生成模型架构
状态：免费试用Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
与 deep learning 相关的搜索
总之，以下是 10 最受欢迎的 deep learning 课程
- 深度学习: DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Analyze and Apply Deep Learning for Computer Vision: EDUCBA
- 神经网络与深度学习: DeepLearning.AI
- 使用 PyTorch 进行深度学习: IBM
- 机器学习: DeepLearning.AI
- PyTorch for Deep Learning: DeepLearning.AI
- 使用 Keras 的深度学习和神经网络简介: IBM
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Deep Learning for Computer Vision: MathWorks
