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Results for "deep learning fundamentals"
DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Machine Learning Algorithms
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Natural Language Processing
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
- Status: New
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Data Import/Export, Artificial Intelligence, Scientific Visualization, Computer Vision, Time Series Analysis and Forecasting
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Forecasting, Machine Learning, Supervised Learning, Data Processing, Data Transformation
University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Performance Testing, Applied Machine Learning, Markov Model, Algorithms, Statistical Methods, Pseudocode, Linear Algebra, Probability Distribution
Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Image Analysis, Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Data Cleansing, Applied Machine Learning, Data Access, Deep Learning, Data Analysis, Regression Analysis, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
MathWorks
Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Data Synthesis, Data Analysis, Machine Learning, Performance Tuning, Data Manipulation
Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Network Architecture, Natural Language Processing, Linear Algebra
Searches related to deep learning fundamentals
In summary, here are 10 of our most popular deep learning fundamentals courses
- Deep Learning:Â DeepLearning.AI
- Introduction to Deep Learning & Neural Networks with Keras:Â IBM
- Machine Learning:Â DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Neural Networks and Deep Learning:Â DeepLearning.AI
- Deep Learning with PyTorch:Â IBM
- DeepLearning.AI TensorFlow Developer:Â DeepLearning.AI
- Reinforcement Learning:Â University of Alberta
- IBM AI Engineering:Â IBM
- IBM Machine Learning:Â IBM