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: Free TrialDeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis
Status: PreviewEdge Impulse
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Computer Programming, Python Programming
Status: PreviewUniversidad de los Andes
Skills you'll gain: Deep Learning, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Network Architecture, Natural Language Processing, Machine Learning Algorithms, Time Series Analysis and Forecasting
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning
Status: Free TrialSkills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
Status: Free TrialSkills you'll gain: Artificial Intelligence, Python Programming, Machine Learning Methods
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming
Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Regression Analysis, Supervised Learning, Performance Tuning
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming
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
In summary, here are 10 of our most popular convolutional neural network courses
- Apply Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Computer Vision with Embedded Machine Learning:Â Edge Impulse
- Introducción al deep learning contemporáneo: Universidad de los Andes
- Programming Generative AI: Unit 2:Â Pearson
- Build Basic Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Keras Deep Learning & Generative Adversarial Networks (GAN):Â Packt
- Practical Deep Learning with Python:Â Edureka
- Introduction to CNN Training:Â Simplilearn
- Deep Neural Network for Beginners Using Python:Â Packt
- Deep Learning Frameworks and Neural Networks Simplified:Â Simplilearn
