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  • Convolutional Neural Networks

Results for "convolutional neural networks"


  • I

    Illinois Tech

    Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training

    ★ 4.5 (34) · Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Performance Testing, Deep Learning, Vision Transformer (ViT)

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model

    ★ 4 (7) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Supervised Learning, Model Training, Data Science, Machine Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    ★ 4.8 (13) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Classify Images with TensorFlow Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Model Training, Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Model Evaluation, Google Cloud Platform, Cloud Computing, Scientific Visualization

    Beginner · Project · Less Than 2 Hours

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

1…567…223

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

  • Deep Learning: Illinois Tech
  • Start Neural Networks Advanced Model Architectures: Coursera
  • Practical Deep Learning with Python: Edureka
  • Design and Build Custom Neural Networks: Coursera
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Foundations of Model Optimization and Deep Learning: Packt
  • Building and Training Neural Networks with PyTorch: Packt
  • Introduction to RNN and DNN: Packt

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