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  • Basic Tensor Functionality

Results for "basic tensor functionality"


  • D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    655 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Cloud Deployment, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Unsupervised Learning, Deep Learning, Data Analysis, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    TensorFlow: Build & Deploy Face Mask Detection

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

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Intro to TensorFlow 日本語版

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Feature Engineering, Google Cloud Platform, Data Pipelines, Jupyter, Machine Learning Methods, Deep Learning, Data Preprocessing, Embeddings

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

  • I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Mathematical Foundations and Quantum Mechanics Essentials

    Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    63 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Debugging, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

1234…459

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

  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
  • TensorFlow: Build & Deploy Face Mask Detection: EDUCBA
  • Intro to TensorFlow 日本語版: Google Cloud
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Getting started with TensorFlow 2: Imperial College London
  • Customising your models with TensorFlow 2: Imperial College London
  • Foundations and Core Concepts of PyTorch: Packt
  • Mathematical Foundations and Quantum Mechanics Essentials: Packt
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University

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