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: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
高级设置 · 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), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
中级 · 课程 · 1-4 周

您将获得的技能: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 嵌入, Keras(神经网络库), 递归神经网络 (RNN), Model Evaluation, 自然语言处理, 应用机器学习, Transfer Learning, PyTorch(机器学习库)
中级 · 课程 · 1-4 周

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

您将获得的技能: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
中级 · 课程 · 3-6 个月

Simplilearn
您将获得的技能: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning
初级 · 课程 · 1-4 周

Universidad de los Andes
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing
攻读学位
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Cloud Computing
中级 · 项目 · 不超过 2 小时

您将获得的技能: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
中级 · 指导项目 · 不超过 2 小时