Results for "tensorflow probability"
Status: Free TrialImperial College London
Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning
Status: NewStatus: Free TrialSkills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing
Status: Free TrialStatus: AI skillsSkills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Machine Learning Methods, Generative AI, Data Analysis, Correlation Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Generative AI, Classification Algorithms, Forecasting, Machine Learning
Status: Free TrialImperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting
Status: NewStatus: Free TrialSkills you'll gain: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
Status: NewStatus: PreviewSkills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms
Status: Free TrialDeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing
In summary, here are 10 of our most popular tensorflow probability courses
- TensorFlow 2 for Deep Learning:Â Imperial College London
- Build & Optimize TensorFlow ML Workflows:Â Coursera
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Foundations of Probability and Statistics:Â University of Colorado Boulder
- DeepLearning.AI TensorFlow Developer:Â DeepLearning.AI
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Deep Learning with Keras and Tensorflow:Â IBM
- Optimize and Deploy Edge AI Models:Â Coursera
- Probabilistic Graphical Models:Â Stanford University
- Probabilistic Graphical Models: A Compact Introduction:Â Coursera
