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Imperial College London
您将获得的技能: 概率与统计, 贝叶斯统计, 机器学习, 无监督学习, 降维, 深度学习, 生成模型架构, 图像分析, 人工神经网络, 张力流
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Customer Analysis, Predictive Modeling, Data Processing, Feature Engineering, Predictive Analytics, Exploratory Data Analysis, Data Cleansing, Software Installation
状态：新状态：预览您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Data Processing, Data Transformation
状态：新状态：免费试用您将获得的技能: Tensorflow, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Data Processing
状态：免费试用您将获得的技能: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging
状态：免费试用IBM
您将获得的技能: 探索性数据分析, 回归分析, 机器学习, 监督学习, 无监督学习, 机器学习算法, 统计建模, 降维, 预测建模, 数据访问, 数据科学, 统计推理, 数据质量, 应用机器学习, 数据清理, 统计假设检验, 数据分析, Scikit-learn （机器学习库）, 功能工程, 分类与回归树 (CART)
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 机器学习, Python 程序设计, 降维, NumPy, 数据操作, 数据转换, 数据科学, 线性代数, Machine Learning 方法, 数学建模
状态：新状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Performance Tuning, Machine Learning Algorithms, Python Programming, NumPy, Linear Algebra, Algorithms
状态：新状态：免费试用您将获得的技能: 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
状态：免费试用DeepLearning.AI
您将获得的技能: 无监督学习, 计算机视觉, 深度学习, 生成式人工智能, 张力流, 生成模型架构, Keras（神经网络库）, 人工神经网络, 图像分析
状态：预览University of Colorado Boulder
您将获得的技能: 机器学习, 监督学习, 人工智能和机器学习（AI/ML）, 深度学习, 计算机视觉, 应用机器学习, 性能调整, 人工神经网络, 张力流, 图像分析
总之，以下是 10 最受欢迎的 deep learning 课程
- 使用 TensorFlow 2 进行概率深度学习: Imperial College London
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- Deep Learning: Build & Optimize Neural Networks: EDUCBA
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- IBM 机器学习入门: IBM
- 机器学习和数据科学线性代数: DeepLearning.AI
- Learning Deep Learning: Unit 2: Pearson
- Réseaux neuronaux et Deep Learning: DeepLearning.AI
- Learning Deep Learning: Unit 3: Pearson
