
DeepLearning.AI
您将获得的技能: 卷积神经网络, PyTorch(机器学习库), 张力流, 自然语言处理, 深度学习, 人工神经网络, Transfer Learning, 监督学习, 计算机视觉, 拥抱的脸, 大型语言模型, 应用机器学习, 调试, MLOps(机器学习 Operator), 性能调整, 嵌入, 递归神经网络 (RNN), Keras(神经网络库), 图像分析, 机器学习
攻读学位
中级 · 专项课程 · 3-6 个月

您将获得的技能: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning
高级设置 · 课程 · 1-3 个月

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
初级 · 专项课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 人工智能, 无监督学习, Transfer Learning, 降维, 卷积神经网络, 人工神经网络, 计算机视觉, 自动编码器, 生成对抗网络 (GAN), 机器学习, 深度学习, Model Evaluation, Machine Learning 方法, 递归神经网络 (RNN), Keras(神经网络库), 强化学习
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
中级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Deep Learning, Performance Tuning, Applied Machine Learning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis
中级 · 课程 · 1-4 周

多位教师
您将获得的技能: 人工智能, 张力流, 分类算法, Transfer Learning, 无监督学习, 预测建模, NumPy, 监督学习, 深度学习, 数据伦理, Jupyter, 机器学习, 应用机器学习, 随机森林算法, 强化学习, Model Evaluation, 数据预处理, Scikit-learn (机器学习库), 功能工程, 决策树学习
初级 · 专项课程 · 1-3 个月

Whizlabs
您将获得的技能: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods
中级 · 课程 · 1-4 周

Imperial College London
您将获得的技能: 数学建模, 人工神经网络, NumPy, 统计分析, 无监督学习, 降维, 统计, 应用数学, Python 程序设计, 微积分, 数据预处理, 功能工程, Algorithm, 衍生产品, Machine Learning 方法, 高等数学, 回归分析, Jupyter, 线性代数, 机器学习算法
初级 · 专项课程 · 3-6 个月