Results for "Quantization Aware Training"

Skills you'll gain: Generative Model Architectures, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, Model Optimization, Generative Adversarial Networks (GANs), Vision Transformer (ViT), MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Cloud Infrastructure, AI Workflows, Large Language Modeling, Microsoft Azure, Model Training, Hugging Face, Autoencoders, Computer Vision

Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Embeddings, Natural Language Processing, Model Training, Model Optimization

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Regression Analysis

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Tensorflow, Data Analysis, Python Programming, Artificial Intelligence, Machine Learning
What brings you to Coursera today?

Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Model Training, Image Analysis, Analysis, AI Workflows, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Model Optimization, Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct

Skills you'll gain: Model Training, Feature Engineering, Data Quality, Data Governance, Data Pipelines, Model Evaluation, Data Integrity, Release Management, Data Validation, Metadata Management, Taxonomy, Continuous Monitoring

Board Infinity
Skills you'll gain: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Docker (Software), Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Model Training, Transfer Learning, Convolutional Neural Networks, Computer Programming, Supervised Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Model Optimization, Probability Distribution, Embeddings, Application Programming Interface (API)

