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    Results for "vanishing gradient"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative Deep Learning with TensorFlow

      Skills you'll gain: Generative AI, Tensorflow, Image Analysis, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Computer Graphics, Unsupervised Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      309 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Tweet Emotion Recognition with TensorFlow

      Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      167 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • T

      The Chinese University of Hong Kong

      Basic Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Problem Solving, Graph Theory, Decision Support Systems, Computational Thinking, Data Modeling, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      454 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Orthogonality and Diagonalization

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Object Localization with TensorFlow

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      115 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Detecting COVID-19 with Chest X-Ray using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Medical Imaging, Machine Learning, Computer Vision, X-Ray Computed Tomography

      4.5
      Rating, 4.5 out of 5 stars
      ·
      339 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Practical Predictive Analytics: Models and Methods

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      321 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Simplilearn

      Deep Learning Frameworks and Neural Networks Simplified

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Processing

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Neural Network for Beginners Using Python

      Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Data Cleansing, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Regression Analysis, Supervised Learning, Performance Tuning

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Adobe Photoshop for Beginners: Generative AI Images

      Skills you'll gain: Photo Editing, Generative AI, Adobe Photoshop, Data Import/Export, Adobe Creative Cloud, Image Analysis, Editing, Graphic Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      37 reviews

      Beginner · Guided Project · Less Than 2 Hours

    1…678…12

    In summary, here are 10 of our most popular vanishing gradient courses

    • Generative Deep Learning with TensorFlow: DeepLearning.AI
    • Tweet Emotion Recognition with TensorFlow: Coursera Project Network
    • Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
    • Matrix Methods: University of Minnesota
    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
    • Object Localization with TensorFlow: Coursera Project Network
    • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera Project Network
    • Practical Predictive Analytics: Models and Methods: University of Washington
    • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn

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