卷积神经网络课程可以帮助您学习图像分类、Object Detection 和 Feature Extraction 技术。您可以掌握优化神经网络 Architecture、实施数据 Augmentation 策略以及针对特定任务对模型进行微调的技能。许多课程介绍了 TensorFlow 和 Keras 等工具,这些工具支持构建和训练 CNN,以及评估模型性能和部署计算机视觉和 AI 驱动解决方案等领域应用的方法。

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), 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: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
初级 · 专项课程 · 1-3 个月

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

DeepLearning.AI
您将获得的技能: 监督学习, 微积分, 深度学习, 线性代数, 应用机器学习, 人工神经网络, 递归神经网络 (RNN), 卷积神经网络, Python 编程
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
初级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming
初级 · 课程 · 1-4 周

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

您将获得的技能: 计算机视觉, Model Evaluation, 生成式对抗网络(GANs), 性能调整, 模型评估, 无监督学习, 自动编码器, Keras(神经网络库), 深度学习, Transfer Learning, 张力流, 递归神经网络 (RNN), 卷积神经网络, 迁移学习, 强化学习
中级 · 课程 · 1-3 个月

IBM
您将获得的技能: 计算机视觉, Model Evaluation, 模型评估, PyTorch(机器学习库), Keras(神经网络库), 机器学习, 视觉转换器(ViT), 深度学习, Transfer Learning, 地理空间信息与技术, 数据预处理, 卷积神经网络, Python 编程, 模型部署, 数据管道, 迁移学习
高级设置 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 计算机视觉, Model Evaluation, Keras(神经网络库), 模型评估, 机器学习, 深度学习, Transfer Learning, 张力流, 卷积神经网络, 应用机器学习, 数据预处理, 分类算法, 迁移学习, 图像分析
中级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
初级 · 课程 · 1-4 周