Neural Networks Courses
Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.
Popular Neural Networks Courses and Certifications
Status: NewStatus: Free TrialSkills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Training, Model Evaluation, Data Preprocessing
Status: Free TrialSkills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Model Optimization, Large Language Modeling, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning
Status: PreviewDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Fine-tuning, Model Training, Network Architecture
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture
Status: PreviewDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training
Status: NewStatus: PreviewSkills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization
Status: Free TrialUniversidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Model Training, Model Deployment, Computer Vision
Status: PreviewDeepLearning.AI
Skills you'll gain: Deep Learning, Model Optimization, Tensorflow, Model Evaluation, Model Training, Applied Machine Learning, Artificial Neural Networks, Performance Tuning, Test Data, Machine Learning, Debugging, Algorithms
Status: NewStatus: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Model Training, Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
In summary, here are 10 of our most popular neural networks courses
- Optimize AI Inference Speed & Accuracy: Coursera
- Advanced RNN Concepts and Projects: Packt
- Learning Deep Learning: Unit 1: Pearson
- Natural Language Processing - Deep Learning Models in Python: Packt
- RNN Architecture and Sentiment Classification: Packt
- Réseaux neuronaux convolutifs: DeepLearning.AI
- Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
- 컨볼루션 신경망: DeepLearning.AI
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
