Filter by
The language used throughout the course, in both instruction and assessments.
Results for "neural+network+models"
Skills you'll gain: Deep Learning
Skills you'll gain: Tensorflow
Skills you'll gain: Deep Learning, Machine Learning
Johns Hopkins University
Skills you'll gain: Deep Learning, Tensorflow
Skills you'll gain: Data Science, Machine Learning
Johns Hopkins University
Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Computer Vision, Machine Learning, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
Skills you'll gain: Data Science, Deep Learning, Machine Learning, Tensorflow
Skills you'll gain: Deep Learning, Machine Learning
DeepLearning.AI
Skills you'll gain: Generative AI, Scalability, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Applied Machine Learning, Natural Language Processing, Business Solutions, Machine Learning, Performance Tuning, Application Deployment, Reinforcement Learning
Skills you'll gain: Data Science, Machine Learning
Searches related to neural+network+models
In summary, here are 10 of our most popular neural+network+models courses
- Deep Neural Network for Beginners Using Python:Â Packt
- Deep Learning Frameworks and Neural Networks Simplified:Â Simplilearn
- Deep Learning - Artificial Neural Networks with TensorFlow:Â Packt
- Mastering Neural Networks and Model Regularization:Â Johns Hopkins University
- Advanced Generative Adversarial Networks (GANs):Â Packt
- Deep Learning - Recurrent Neural Networks with TensorFlow:Â Packt
- Advanced Neural Network Techniques:Â Johns Hopkins University
- Advanced Machine Learning and Deep Learning:Â Packt
- Deep Learning - Crash Course 2023:Â Packt
- Deep Learning with Keras and Practical Applications:Â Packt