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: NewStatus: Free TrialSkills you'll gain: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Deep Learning, Real Time Data, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Responsible AI, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Computer Vision, Machine Learning Methods, Unsupervised Learning, Natural Language Processing
Status: Free TrialSimplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
Status: NewStatus: Free TrialSkills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Python Programming, Google Cloud Platform, Development Environment
Status: Free TrialDeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Linear Algebra, Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Network Architecture, Algorithms, Statistical Methods, Performance Tuning, Linear Algebra
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms
Status: Free TrialDeepLearning.AI
Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing
Status: Free TrialDeepLearning.AI
Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning
Status: PreviewDeepLearning.AI
Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning
Status: Free TrialSkills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Text Mining, Data Science, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model
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In summary, here are 10 of our most popular recurrent neural network courses
- Generative AI Models and Transformer Networks Certification:Â Simplilearn
- AI & Deep Learning Concepts and Applications:Â Simplilearn
- Master CNNs with Python: Build, Train & Evaluate Models:Â EDUCBA
- Neural Networks and Deep Learning:Â DeepLearning.AI
- Introduction to Neural Networks:Â Johns Hopkins University
- Applied Natural Language Processing in Engineering Part 2:Â Northeastern University
- Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Deep Learning Frameworks and Neural Networks Simplified:Â Simplilearn
- Convolutional Neural Networks:Â DeepLearning.AI
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning:Â DeepLearning.AI
