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: 机器学习, 深度学习, Transfer Learning, 监督学习, 人工智能, 人工神经网络, 决策树学习, 随机森林算法, 分类算法, 数据伦理, 应用机器学习, 逻辑回归, 张力流, Model Evaluation, 性能调整
状态：免费试用您将获得的技能: 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
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 机器学习, 深度学习, 数据预处理, 人工神经网络, 预测, 递归神经网络 (RNN), 预测建模, 应用机器学习, 时间序列分析和预测, 张力流
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
状态：新状态：免费试用您将获得的技能: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
状态：免费试用DeepLearning.AI
您将获得的技能: 拥抱的脸, 深度学习, Transfer Learning, 监督学习, 嵌入, 人工神经网络, 递归神经网络 (RNN), 自然语言处理
状态：免费试用University of Michigan
您将获得的技能: 机器学习, 无监督学习, 回归分析, 人工神经网络, 决策树学习, 监督学习, 分类算法, 随机森林算法, Python 程序设计, 预测建模, 功能工程, 应用机器学习, Model Evaluation, Scikit-learn （机器学习库）
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, 机器学习, 深度学习, 分类算法, 数据预处理, 卷积神经网络, Transfer Learning, Keras（神经网络库）, Model Evaluation, 张力流, 应用机器学习, 图像分析
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 深度学习, 调试, Transfer Learning, MLOps（机器学习 Operator）, 数据驱动的决策制定, Model Evaluation, 应用机器学习, 性能调整, AI 产品战略
您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
总之，以下是 10 最受欢迎的 deep learning 课程
- 高级学习算法: DeepLearning.AI
- NVIDIA: Fundamentals of Deep Learning: Whizlabs
- 序列、时间序列和预测: DeepLearning.AI
- Deep Learning for Natural Language Processing: University of Colorado Boulder
- Learning Deep Learning: Unit 1: Pearson
- 序列模型: DeepLearning.AI
- Python 中的应用机器学习: University of Michigan
- Deep Learning with PyTorch : Siamese Network: Coursera
- Practical Deep Learning with Python: Edureka
- TensorFlow 中的卷积神经网络: DeepLearning.AI
