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Results for "an introduction to practical deep learning"
Status: Free TrialDeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Machine Learning Algorithms, Analysis, Data Processing
Status: PreviewSkills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Machine Learning Methods, Generative AI, Applied Machine Learning, Natural Language Processing, Scalability, Artificial Intelligence, Reinforcement Learning, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Large Language Modeling, PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Artificial Neural Networks, Time Series Analysis and Forecasting, Network Architecture
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
Status: PreviewYonsei University
Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Business Strategy, Image Analysis, Natural Language Processing, Artificial Intelligence, Machine Learning, Reinforcement Learning, Unsupervised Learning, Supervised Learning
Status: NewStatus: Free TrialPearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Natural Language Processing, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting, Machine Learning, Performance Tuning, Python Programming, Algorithms, Network Architecture
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Supervised Learning, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Data Collection, Data Cleansing, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, ChatGPT, Network Model, Network Architecture, Performance Tuning
Status: Free TrialStatus: AI skillsSkills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Image Analysis, Artificial Intelligence, Program Development, Process Driven Development, Computer Vision, Software Development Life Cycle, Regression Analysis, Time Series Analysis and Forecasting, Network Architecture, Network Model
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Linear Algebra, Regression Analysis
Status: NewStatus: Free TrialSkills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Computer Vision, Data Ethics, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Performance Tuning
Status: Free TrialSkills you'll gain: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning
In summary, here are 10 of our most popular an introduction to practical deep learning courses
- Deep Learning:Â DeepLearning.AI
- An Introduction to Practical Deep Learning:Â Intel
- Learning Deep Learning: Unit 2:Â Pearson
- Foundations of Machine Learning:Â Coursera
- Deep Learning for Business:Â Yonsei University
- Learning Deep Learning:Â Pearson
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Introduction to Deep Learning & Neural Networks with Keras:Â IBM
- Learning Deep Learning: Unit 1:Â Pearson
