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  • Convolutional Neural Network

Convolutional Neural Network Courses

Convolutional Neural Network courses can help you learn image classification, object detection, and feature extraction techniques. You can build skills in optimizing neural network architectures, implementing data augmentation strategies, and fine-tuning models for specific tasks. Many courses introduce tools like TensorFlow and Keras, that support building and training CNNs, along with methods for evaluating model performance and deploying applications in fields such as computer vision and AI-driven solutions.


More to explore:

Popular Convolutional Neural Network Courses and Certifications


  • 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

  • P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    548 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Simplilearn

    Image Generation with AI Training Course

    Skills you'll gain: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning

    Beginner · Course · 1 - 4 Weeks

  • P

    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Image Classification on Autopilot with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular convolutional neural network courses

  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • RNN Architecture and Sentiment Classification: Packt
  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Learning Deep Learning: Unit 1: Pearson
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Image Generation with AI Training Course: Simplilearn
  • Learning Deep Learning: Unit 3: Pearson
  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs

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