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.
Popular Convolutional Neural Network Courses and Certifications
Status: NewStatus: Free TrialSkills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning Methods
Status: Free TrialDeepLearning.AI
Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks
Status: Free TrialSkills you'll gain: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Artificial Neural Networks, Unstructured Data, Deep Learning, Data Processing, Machine Learning Methods, Machine Learning
Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming
Status: PreviewSkills you'll gain: Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning Methods, Generative AI, Natural Language Processing, Scalability, Reinforcement Learning, Network Architecture, Performance Tuning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Multimodal Prompts, Generative AI, Generative Model Architectures, Prompt Engineering, Image Analysis, Image Quality, Unsupervised Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Dimensionality Reduction
Status: Free TrialJohns Hopkins University
Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Network Architecture
Status: Free TrialSkills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Network Architecture, Medical Imaging
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming
Skills you'll gain: Computer Vision, Image Analysis, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Processing, Performance Tuning, Data Collection, Software Installation
In summary, here are 10 of our most popular convolutional neural network courses
- Attention Mechanisms and Transformer Models Course:Â Simplilearn
- Natural Language Processing with Attention Models:Â DeepLearning.AI
- NVIDIA: Fundamentals of NLP and Transformers :Â Whizlabs
- Deep Learning with PyTorch : Generative Adversarial Network:Â Coursera
- An Introduction to Practical Deep Learning:Â Intel
- Natural Language Processing in TensorFlow:Â DeepLearning.AI
- Image Generation with AI Training Course:Â Simplilearn
- Advanced Neural Network Techniques:Â Johns Hopkins University
- Deep Learning with PyTorch:Â Coursera
- Advanced CNNs, Transfer Learning, and Recurrent Networks:Â Packt
