Recurrent Neural Network courses can help you learn sequence prediction, time series analysis, and natural language processing techniques. You can build skills in designing and training RNN architectures, optimizing model performance, and implementing long short-term memory (LSTM) networks. Many courses introduce tools like TensorFlow and Keras, that support developing AI applications that require handling sequential data, enabling you to apply your knowledge in practical scenarios.

Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Artificial Neural Networks, Network Model, Development Environment, Project Implementation
★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Feature Engineering, Model Training, Data Preprocessing, Model Optimization, Logistic Regression, Computer Vision, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Data Transformation, Machine Learning Software, Deep Learning, Classification Algorithms, Regression Analysis, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Network Model
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Deep Learning, Autoencoders, Transfer Learning, Databricks, Machine Learning, Computer Science, Algorithms, Data Science
Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Python Programming, Model Training, Model Optimization
★ 4.9 (124K) · Intermediate · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Data Science, Logistic Regression, Data Preprocessing, Embeddings
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Predictive Modeling, NumPy, Regression Analysis, Data Preprocessing
★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis, Model Optimization
★ 4.7 (2.4K) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics
★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
★ 4.4 (40) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computer Vision, Model Training
Advanced · Course · 1 - 3 Months