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: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
中级 · 课程 · 1-4 周

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

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
初级 · 专项课程 · 1-3 个月

您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
中级 · 课程 · 1-4 周

Whizlabs
您将获得的技能: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods
中级 · 课程 · 1-4 周

您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML)
初级 · 课程 · 1-4 周

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

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation
高级设置 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: PyTorch(机器学习库), 数据预处理, 文本挖掘, Algorithm, 自然语言处理, 降维, Keras(神经网络库), 功能工程, Transfer Learning, 马尔可夫模型, 分类算法, 深度学习, 人工神经网络, 张力流, 递归神经网络 (RNN), 统计机器学习, 监督学习, Machine Learning 方法, 应用机器学习, 嵌入
中级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
混合 · 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

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