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: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
混合 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 生成对抗网络 (GAN), PyTorch(机器学习库), 生成式人工智能, 信息隐私, 负责任的人工智能, 卷积神经网络, 人工神经网络, 深度学习, 机器学习, 无监督学习, 数据伦理, 生成模型架构, Model Evaluation, 图像质量, 数据综合, 图像分析
中级 · 专项课程 · 1-3 个月

您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
中级 · 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

您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
初级 · 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, Deep Learning, Machine Learning
初级 · 课程 · 1-3 个月

您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Prompt Engineering, Artificial Intelligence, Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
中级 · 课程 · 1-4 周

Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Artificial Intelligence, Model Evaluation, Python Programming
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 卷积神经网络, 人工智能, 张力流, 医学影像, 统计机器学习, 深度学习, 医学科学与研究, 机器学习, 预测建模, 自然语言处理, 概率与统计, 应用机器学习, 数据预处理, 放射诊断学, Model Evaluation, Machine Learning 方法, 磁共振成像, 风险模型, 图像分析
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
初级 · 课程 · 1-3 个月