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。

DeepLearning.AI
您将获得的技能: 人工神经网络, 生成式人工智能, 张力流, 生成式对抗网络(GANs), 卷积神经网络, 深度学习, 自动编码器, Transfer Learning, 生成模型架构, 迁移学习, 图像分析
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Jupyter, 监督学习, NumPy, 逻辑回归, 人工智能, 模型评估, 回归分析, 预测建模, 分类算法, 功能工程, Python 编程, 数据预处理, 机器学习, 无监督学习, Scikit Learn(机器学习库), Model Evaluation
初级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
中级 · 课程 · 1-4 周

Pearson
您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
混合 · 课程 · 1-3 个月

您将获得的技能: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
中级 · 课程 · 3-6 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
中级 · 课程 · 1-3 个月

Pearson
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
中级 · 课程 · 1-4 周

Yonsei University
您将获得的技能: 自然语言处理, 递归神经网络 (RNN), 人工神经网络, 人工智能和机器学习(AI/ML), 人工智能, 企业战略, 卷积神经网络, 强化学习, 张力流, 深度学习, 技术战略, 机器学习, 无监督学习
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science
初级 · 课程 · 1-3 个月

您将获得的技能: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
混合 · 课程 · 1-4 周