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  • Deep Learning Optimization Techniques

Results for "deep+learning+optimization+techniques"


  • Status: New
    New
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    C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Natural Language Processing, Debugging, Containerization, Kubernetes, Transfer Learning, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Applied Machine Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Tensorflow, Cloud Computing, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Model Evaluation, Applied Machine Learning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Performance Tuning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation, Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: New
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    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Mastering DeepSeek.ai: From Fundamentals to Advanced Skills

    Skills you'll gain: Make.com, Email Automation, DeepSeek API, Deepseek, Workflow Management, AI Workflows, No-Code Development, Operational Efficiency, Agentic Workflows, AI Enablement, Large Language Modeling, Retrieval-Augmented Generation, Automation, Generative AI, Application Programming Interface (API), Embeddings, Model Deployment, Natural Language Processing, Prompt Engineering, Debugging

    4.1
    Rating, 4.1 out of 5 stars
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    49 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
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    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    Coursera

    Optimize AI: Plan, Evaluate, and Learn

    Skills you'll gain: Risk Analysis, Risk Management Framework, Decision Making, AI Enablement, Continuous Deployment, Project Management Software, Strategic Decision-Making, Operational Analysis, Release Management, Project Planning, Predictive Modeling, A/B Testing, Business Priorities, Operational Efficiency, Algorithms, Experimentation, Advanced Analytics, Procedure Development, Product Planning, Product Development

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    80 reviews

    Intermediate · Course · 1 - 3 Months

1234…9

In summary, here are 10 of our most popular deep+learning+optimization+techniques courses

  • Deep Learning Engineering: Coursera
  • Deep Learning: DeepLearning.AI
  • Systematic ML Optimization: Coursera
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Deep Learning with TensorFlow: Packt
  • Mastering DeepSeek.ai: From Fundamentals to Advanced Skills: Board Infinity
  • Foundations of Neural Networks: Johns Hopkins University
  • Optimize AI: Plan, Evaluate, and Learn: Coursera

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