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: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Embeddings, Network Architecture, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
初级 · 课程 · 1-4 周

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: 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: PyTorch (Machine Learning Library), Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
中级 · 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

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

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: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, PyTorch (Machine Learning Library), Model Evaluation, Embeddings, Artificial Neural Networks, Convolutional Neural Networks, Transfer Learning, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Image Quality, Performance Analysis
初级 · 课程 · 1-4 周

中级 · 课程 · 1-3 个月

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

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

Coursera
您将获得的技能: Model Evaluation, Transfer Learning, 模型评估, 性能调整, 递归神经网络 (RNN), 迁移学习, 卷积神经网络
中级 · 课程 · 1-4 周