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Explore the Convolutional Neural Network Course Catalog
Status: Free TrialDeepLearning.AI
Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning
Status: Free TrialSkills you'll gain: Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Data Science, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
Status: PreviewSungkyunkwan University
Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Architecture, Network Model, Machine Learning
Status: Free TrialSkills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Data Analysis, Data Processing
Status: Free TrialDeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis
Status: Free TrialSkills you'll gain: Deep Learning, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods
Status: Free TrialSkills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy
Status: PreviewDeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Performance Tuning, Machine Learning Algorithms, Python Programming, NumPy, Linear Algebra, Algorithms
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment
University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning
Convolutional Neural Network learners also search
In summary, here are 10 of our most popular convolutional neural network courses
- Build Basic Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Deep Learning - Recurrent Neural Networks with TensorFlow:Â Packt
- Learning Deep Learning: Unit 3:Â Pearson
- Fundamentals of CNNs and RNNs:Â Sungkyunkwan University
- Advanced RNN Concepts and Projects:Â Packt
- Apply Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Natural Language Processing - Deep Learning Models in Python:Â Packt
- Deep Learning - Artificial Neural Networks with TensorFlow:Â Packt
- Réseaux neuronaux et Deep Learning: DeepLearning.AI
- Building and Training Neural Networks with PyTorch:Â Packt
