神经网络课程可以帮助您学习架构设计、反向传播、激活函数和优化技术的基础知识。您可以掌握训练模型、调整超参数和评估性能指标的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具,这些工具支持在图像识别、自然语言处理和预测分析等实际应用中实现神经网络。

您将获得的技能: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing
中级 · 课程 · 1-3 个月

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

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling
中级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
中级 · 课程 · 1-3 个月
University of Washington
您将获得的技能: 监督学习, 生物信息学, 生理学, 网络模型, Matlab, 人工神经网络, 计算思维, 生物学, 信息架构, 数学建模, 微分方程, 线性代数, 统计方法, 计算机科学, 神经学, 递归神经网络 (RNN), 机器学习算法, 概率分布, 强化学习
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

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
初级 · 专项课程 · 1-3 个月

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: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
初级 · 专项课程 · 1-3 个月

LearnQuest
您将获得的技能: 机器学习, 深度学习, 分类算法, 回归分析, 人工神经网络, 决策树学习, Python 程序设计, Keras(神经网络库), 随机森林算法, Model Evaluation, 张力流, Scikit-learn (机器学习库)
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 机器学习, 计算机视觉, 深度学习, Transfer Learning, 监督学习, 卷积神经网络, 无监督学习, 人工神经网络, Python 程序设计, 递归神经网络 (RNN), 强化学习, 自然语言处理, 医学影像, 逻辑回归, 图像分析, 应用机器学习, PyTorch(机器学习库)
中级 · 课程 · 1-3 个月

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