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    Results for "pytorch (machine learning library)"

    • C

      Coursera Project Network

      Pneumonia Classification using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Medical Imaging, Radiology, Image Analysis, X-Ray Computed Tomography, Deep Learning, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing - Deep Learning Models in Python

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Auto Machine Learning (AutoML) Using AutoGluon

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning - Recurrent Neural Networks with TensorFlow

      Skills you'll gain: Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Data Science, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build a Machine Learning Image Classifier with Python

      Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      546 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Cryptography, Generative Model Architectures, Probability Distribution, Machine Learning Algorithms, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    1…8910…496

    In summary, here are 10 of our most popular pytorch (machine learning library) courses

    • Pneumonia Classification using PyTorch : Coursera Project Network
    • Natural Language Processing - Deep Learning Models in Python: Packt
    • Auto Machine Learning (AutoML) Using AutoGluon : Coursera Project Network
    • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
    • Introduction to RNN and DNN: Packt
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Build a Machine Learning Image Classifier with Python: Coursera Project Network
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • Natural Language Processing - Probability Models in Python: Packt
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network

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