Results for "tensorflow probability"
Status: Free TrialImperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Artificial Neural Networks, Generative AI, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Data Preprocessing, Forecasting, Machine Learning
Status: Free TrialStatus: AI skillsSkills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Tensorflow, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Status: PreviewDeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Debugging, Machine Learning, 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, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Status: NewStatus: Free TrialSkills you'll gain: Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Model Deployment, Extract, Transform, Load, Federated Learning, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, Transfer Learning, Convolutional Neural Networks, iOS Development, Android Development, Data Preprocessing, Data Processing, Computer Vision, Swift Programming, MLOps (Machine Learning Operations), Model Evaluation, Mobile Development, Javascript, Machine Learning
Status: Free TrialImperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation, Debugging
In summary, here are 10 of our most popular tensorflow probability courses
- TensorFlow 2 for Deep Learning: Imperial College London
- DeepLearning.AI TensorFlow Developer: DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
- TensorFlow: Advanced Techniques: DeepLearning.AI
- Build & Optimize TensorFlow ML Workflows: Coursera
- Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
- TensorFlow: Data and Deployment: DeepLearning.AI
- Probabilistic Deep Learning with TensorFlow 2: Imperial College London
- Probabilistic Graphical Models: Stanford University
