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  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini for Security Engineers

    Skills you'll gain: Google Gemini, AI Security, Cloud Deployment, Google Cloud Platform, Cloud Security, Generative AI, Vulnerability Assessments, Security Controls, Security Engineering

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Multi-Agent Development with AutoGen

    Skills you'll gain: Generative AI Agents, AI Orchestration, Agentic systems, Agentic Workflows, Artificial Intelligence, LLM Application, Development Environment, Tool Calling, Prompt Engineering, Human Machine Interfaces, Software Development Tools, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to D3.js

    Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Visualization (Computer Graphics), JSON, Data Mapping, Javascript

    3.7
    Rating, 3.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Cloud Deployment, Tensorflow, Image Analysis, Data Preprocessing, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Generative AI for Audio and Images: Models and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    CCNA 200-301 Version 1.1: Unit 6

    Skills you'll gain: Network Security, Virtual Private Networks (VPN), Security Controls, Cybersecurity, Security Management, Authentications, Dynamic Host Configuration Protocol (DHCP), Local Area Networks, Security Awareness, Network Switches, Authorization (Computing), Command-Line Interface

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to dcgans

déployer l'économie circulaire dans les organisations
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1…6789

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

  • Introduction to RNN and DNN: Packt
  • Gemini for Security Engineers: Google Cloud
  • Mastering Multi-Agent Development with AutoGen: Packt
  • Introduction to D3.js: Coursera
  • Core generative models and techniques: Microsoft
  • Deep Neural Network for Beginners Using Python: Packt
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
  • CCNA 200-301 Version 1.1: Unit 6: Pearson
  • Generative AI Using SAS: SAS
  • Последовательные модели: DeepLearning.AI

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