Recurrent Neural Network Courses
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.
Popular Recurrent Neural Network Courses and Certifications
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning
Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming
Status: PreviewDeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings
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, Network Architecture, Data Preprocessing, Classification Algorithms
- Status: Preview
DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning
Status: Free TrialJohns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
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, Classification Algorithms, Network Architecture
Status: PreviewDeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Data Compilation, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Performance Tuning, Machine Learning Algorithms, Machine Learning
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
Skills you'll gain: Convolutional Neural Networks, Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Model Evaluation, Google Cloud Platform, Cloud Computing, Scientific Visualization
Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Status: Free TrialDeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis
Searches related to recurrent neural network
In summary, here are 10 of our most popular recurrent neural network courses
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
- Deep Learning with PyTorch : Generative Adversarial Network: Coursera
- Последовательные модели: DeepLearning.AI
- Réseaux neuronaux convolutifs: DeepLearning.AI
- النماذج المتعاقبة: DeepLearning.AI
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- 컨볼루션 신경망: DeepLearning.AI
- Повышение эффективности глубоких нейросетей: DeepLearning.AI
- Building and Training Neural Networks with PyTorch: Packt
- Classify Images with TensorFlow Convolutional Neural Networks: Google Cloud
