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  • Processors

Results for "processors"


  • D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Arm

    Optimizing Generative AI on Arm Processors

    Skills you'll gain: Generative AI, Model Deployment, Large Language Modeling, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Cloud Deployment, Performance Tuning, Hardware Architecture, Deep Learning, Embedded Systems, Computer Hardware, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52K reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    VLSI Chip Design and Simulation with Electric VLSI EDA Tool

    Skills you'll gain: Electronic Systems, Hardware Design, Electronics Engineering, Electrical Engineering, Computer Architecture, Schematic Diagrams, Semiconductors, Electronic Components, Diagram Design, Low Voltage, Simulation and Simulation Software, Computational Logic, Verification And Validation, Software Installation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Introduction to Technical Writing

    Skills you'll gain: Technical Writing, Technical Documentation, Software Documentation, Technical Communication, Layout Design, Writing and Editing, Writing, Collaborative Software, Graphic and Visual Design, Augmented and Virtual Reality (AR/VR), Typography, Proofreading, Multimedia, Web Content Accessibility Guidelines, Content Management, GitHub, Version Control

    4.3
    Rating, 4.3 out of 5 stars
    ·
    431 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Data Analytics Using SPSS Modeler Workflows

    Skills you'll gain: Dashboard, Data Transformation, Analytics, Data Presentation, Data Preprocessing, Data Analysis, Business Analytics, Statistical Analysis, Statistical Modeling, Data Quality, SPSS, Predictive Modeling, Workflow Management, Data Visualization Software, Regression Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

Searches related to processors

digital systems: from logic gates to processors
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1…456…38

In summary, here are 10 of our most popular processors courses

  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Optimizing Generative AI on Arm Processors: Arm
  • AI For Everyone: DeepLearning.AI
  • Deep Learning and Advanced Techniques: Packt
  • Deep Learning & Modern AI Architectures: Packt
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Applied Machine Learning in Python: University of Michigan
  • VLSI Chip Design and Simulation with Electric VLSI EDA Tool: L&T EduTech

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