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  • Tensorflow Probability

Results for "tensorflow+probability"


  • G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Machine Learning, Machine Learning Methods, Google Cloud Platform, Machine Learning Software, Applied Machine Learning, Data Preprocessing, Cloud Storage, Keras (Neural Network Library), Data Quality, Cloud Computing, Model Training, Machine Learning Algorithms, Statistical Machine Learning, Embeddings, Fine-tuning, Dataflow

    ★ 4.4 (152) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: CI/CD, Continuous Deployment, Continuous Integration, Google Cloud Platform, MLOps (Machine Learning Operations), AI Orchestration, Data Pipelines, Model Training, Tensorflow, Metadata Management, Model Deployment, PyTorch (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, Model Training, Model Optimization, Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Processing, Machine Learning, Python Programming, Data Transformation, Application Programming Interface (API)

    ★ 4.4 (2.8K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

    ★ 4.6 (489) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing

    ★ 4.7 (8.2K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    ★ 4.6 (304) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Intro to TensorFlow 日本語版

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Model Training, Cloud Deployment, Data Pipelines, Feature Engineering, Deep Learning, Machine Learning Methods, Model Optimization, Data Preprocessing, Data Processing, Artificial Neural Networks, Unstructured Data

    ★ 3.8 (12) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Optimization, Model Deployment, iOS Development, Apple iOS, Android Development, Tensorflow, Swift Programming, Model Training, Mobile Development, Embedded Systems, Computer Vision, Machine Learning

    ★ 4.7 (655) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    ★ 4.5 (174) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Model Optimization, Tensorflow, Deep Learning, Performance Tuning, Model Deployment, Python Programming

    ★ 4.5 (76) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Model Training, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    ★ 4.3 (117) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
1…456…9

In summary, here are 10 of our most popular tensorflow+probability courses

  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Intro to TensorFlow 日本語版: Google Cloud
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Tweet Emotion Recognition with TensorFlow: Coursera

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