神经网络
神经元网络知识库可以帮助您了解如何建立、训练和优化模型。您可以在建筑设计、数据挖掘、培训技术和模型评估等方面有所建树。许多课程都有 KI-Praxis 框架和要点。
令人信服的神经网络工具和证书
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
状态：新状态：预览您将获得的技能: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
状态：免费试用University of Pennsylvania
您将获得的技能: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence
状态：新状态：预览您将获得的技能: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning
状态：新状态：免费试用您将获得的技能: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
Coursera
您将获得的技能: 卷积神经网络, Python 程序设计, PyTorch（机器学习库）, 深度学习, 生成对抗网络 (GAN), 图像分析
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment
状态：新状态：免费试用您将获得的技能: Applied Machine Learning, Analysis, Performance Analysis
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing
状态：新状态：预览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
状态：新状态：预览您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML)
总之，以下是 10 最受欢迎的 neural network 课程
- Practical Deep Learning with Python: Edureka
- Deep Learning with R: Build & Predict Neural Networks: EDUCBA
- Deep Learning Essentials: University of Pennsylvania
- Become AI-Ready: Deep Learning Fundamentals: LearnKartS
- Design and Build Custom Neural Networks: Coursera
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera
- Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
- Debug Neural Networks: Analyze Training Dynamics: Coursera
- Deep Learning & Modern AI Architectures: Packt
