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  • Tensorflow Probability

Results for "tensorflow+probability"


  • U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling, Decision Tree Learning, Regression Analysis

    ★ 4.6 (1.5K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

    ★ 4.8 (20K) · Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    Skills 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

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • B

    Board Infinity

    Deep Learning: Train Neural Networks and Deploy with Docker

    Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Configuration Management

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Text Mining

    ★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

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

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming

    ★ 4.6 (47) · Beginner · Specialization · 1 - 3 Months

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

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Model Deployment, Extract, Transform, Load, Federated Learning, Model Optimization, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, Transfer Learning, Convolutional Neural Networks, iOS Development, Apple iOS, Android Development, Data Preprocessing, Model Training, Data Processing, Computer Vision, Fine-tuning, Javascript, Machine Learning

    ★ 4.7 (1.5K) · Intermediate · Specialization · 3 - 6 Months

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

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations

    Intermediate · Course · 1 - 3 Months

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

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

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

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

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

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Statistical Methods, Analysis, Quantitative Research, Data Visualization, Predictive Modeling, Applied Mathematics

    ★ 4.1 (10) · Beginner · Course · 1 - 3 Months

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

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 5 (7) · Beginner · Specialization · 1 - 3 Months

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

    IBM

    Deep Learning with Keras and Tensorflow

    Skills 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

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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…9

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

  • Probability and Statistics: To p or not to p?: University of London
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
  • Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
  • Deep Learning with TensorFlow: Packt
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani

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