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  • Basic Tensor Functionality

Results for "basic+tensor+functionality"


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

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Fundamentals of Teradata: Architecture, Storage & Operations

    Skills you'll gain: Teradata SQL, Database Architecture and Administration, Data Storage, Relational Databases, Database Management Systems, Mainframe Computing, Data Processing, Data Integration, Query Languages, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    196 reviews

    Intermediate · Course · 1 - 3 Months

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, Generative Model Architectures, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Transformer Models and BERT Model - Français

    Skills you'll gain: Natural Language Processing, Generative Model Architectures, Large Language Modeling, Transfer Learning, Embeddings

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Transformer Models and BERT Model - 日本語版

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Running Distributed TensorFlow using Vertex AI

    Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing

    Intermediate · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular basic+tensor+functionality courses

  • Learning Deep Learning: Unit 1: Pearson
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Fundamentals of Teradata: Architecture, Storage & Operations: Board Infinity
  • Customising your models with TensorFlow 2: Imperial College London
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Transformer Models and BERT Model - Français: Google Cloud
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Transformer Models and BERT Model - 日本語版: Google Cloud
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt

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