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。

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

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

MathWorks
您将获得的技能: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis
初级 · 课程 · 1-4 周

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

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: 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

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

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

Simplilearn
您将获得的技能: 深度学习, Model Evaluation, 生成式人工智能, 卷积神经网络, 降维, 无监督学习, 张力流, 自动编码器, 生成式对抗网络(GANs), 模型评估
初级 · 课程 · 1-4 周

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

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

您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Applied Machine Learning, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Artificial Neural Networks, Image Analysis, Artificial Intelligence, Machine Learning, Data Science
中级 · 专项课程 · 3-6 个月