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Explore the Convolutional Neural Network Course Catalog
University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms
Status: Free TrialGoogle Cloud
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Machine Learning Algorithms, Analysis
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
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
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
Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
Status: Free TrialSkills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Generative Model Architectures, Deep Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Unsupervised Learning, Image Quality
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: 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 TrialDeepLearning.AI
Skills you'll gain: Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Unsupervised Learning, Computer Vision
Convolutional Neural Network learners also search
In summary, here are 10 of our most popular convolutional neural network courses
- Deep Learning for Natural Language Processing:Â University of Colorado Boulder
- Computer Vision Fundamentals with Google Cloud:Â Google Cloud
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- Natural Language Processing with Attention Models:Â DeepLearning.AI
- Computer Vision: YOLO Custom Object Detection with Colab GPU:Â Packt
- Introducción al deep learning contemporáneo: Universidad de los Andes
- Deep Learning - Computer Vision for Beginners Using PyTorch:Â Packt
- NVIDIA: Fundamentals of Deep Learning:Â Whizlabs
- Introduction Course to Autoencoders, VAEs, and GANs:Â Simplilearn
- An Introduction to Practical Deep Learning:Â Intel
