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  • Basic Tensor Functionality

Results for "basic+tensor+functionality"


  • 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: Preview
    Preview
    G

    Google Cloud

    Transformer Models and BERT Model - 한국어

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

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - 繁體中文

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Text Mining

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization Fundamentals with Hugging Face

    Skills you'll gain: Generative AI, Hugging Face, Large Language Modeling, Performance Tuning, Model Deployment, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - בעברית

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative AI, Generative Model Architectures, Applied Machine Learning, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

  • 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: Free
    Free
    D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Large Language Modeling, Semantic Web, Vector Databases, Natural Language Processing

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • 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: Free
    Free
    D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    Simplilearn

    Javascript Basics with Operators, Loops and Functions

    Skills you'll gain: Web Development, Web Design and Development, Web Applications, Data Structures, Javascript, Programming Principles, Object Oriented Programming (OOP), Computational Thinking

    Beginner · 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

1…6789

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

  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Transformer Models and BERT Model - 한국어: Google Cloud
  • Encoder-Decoder Architecture - 繁體中文: Google Cloud
  • Quantization Fundamentals with Hugging Face: DeepLearning.AI
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Encoder-Decoder Architecture - בעברית: Google Cloud
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Quantization in Depth: DeepLearning.AI

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