神经元网络知识库可以帮助您了解如何建立、训练和优化模型。您可以在建筑设计、数据挖掘、培训技术和模型评估等方面有所建树。许多课程都有 KI-Praxis 框架和要点。

DeepLearning.AI
您将获得的技能: 微调, 嵌入, 数据预处理, 计算机视觉, 图像分析, 卷积神经网络, 人工神经网络, 深度学习, 应用机器学习, 网络架构, Transfer Learning, 张力流, 模型培训, 迁移学习
★ 4.9 (4.3万) · 中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model
★ 4 (7) · 中级 · 课程 · 1-3 个月

Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training
★ 4.5 (34) · 初级 · 课程 · 1-3 个月

您将获得的技能: 生成式人工智能, 自动编码器, 人工智能和机器学习(AI/ML), 生成式对抗网络(GANs), 模型优化, 无监督学习, 卷积神经网络, 应用机器学习, 时间序列分析和预测, 深度学习, 生成模型架构, 强化学习, Transfer Learning, Keras(神经网络库), 张力流, 模型培训, 迁移学习
★ 4.4 (1031) · 中级 · 课程 · 1-3 个月

University of Pennsylvania
您将获得的技能: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Data Processing, Model Optimization, Artificial Neural Networks, Machine Learning Methods, Applied Machine Learning, Model Training, Machine Learning Algorithms, Machine Learning
★ 4.9 (8) · 中级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Algorithms, Probability Distribution
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation
中级 · 课程 · 1-4 周
University of Washington
您将获得的技能: 机器学习算法, 神经学, 数学建模, 机器学习方法, 递归神经网络 (RNN), Matlab, 计算机视觉, 网络模型, 感官系统分析, 人工神经网络, 监督学习, 电生理学, 生理学, 强化学习, 数学软件, 概率分布, 应用机器学习, 微分方程, 生物学
★ 4.6 (1140) · 初级 · 课程 · 1-3 个月

Coursera
您将获得的技能: 生成式人工智能, Python 编程, 生成式对抗网络(GANs), 卷积神经网络, PyTorch(机器学习库), 深度学习, 生成模型架构, 模型培训
★ 4.5 (99) · 中级 · 指导项目 · 不超过 2 小时

Pearson
您将获得的技能: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture
中级 · 课程 · 1-4 周

Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Applied Machine Learning, Deep Learning, Machine Learning
★ 4.4 (40) · 初级 · 课程 · 1-3 个月

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