PyTorch (Machine Learning Library)

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods

Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Large Language Modeling, Natural Language Processing, Hugging Face, Generative Model Architectures, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms

Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Data Manipulation, Deep Learning, Generative Model Architectures, Model Training, Image Analysis, MLOps (Machine Learning Operations), Large Language Modeling, Data Pipelines, Artificial Neural Networks, Computer Vision, Natural Language Processing

Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Fine-tuning, Artificial Neural Networks, Machine Learning, Computer Vision, Generative Model Architectures, Graph Theory, Machine Learning Algorithms

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Generative AI, Large Language Modeling, Development Environment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Generative Model Architectures, Image Analysis, Feature Engineering, Transfer Learning, Artificial Neural Networks, Natural Language Processing, Convolutional Neural Networks, Vision Transformer (ViT), Computer Vision, Jupyter, Model Evaluation, Model Based Systems Engineering

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, 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, Regression Analysis

Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics

Skills you'll gain: PyTorch (Machine Learning Library), Development Environment, Deep Learning, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Jupyter, Machine Learning, Model Training, Machine Learning Algorithms, Learning Theory, Data Science

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

From the course: Train Large Language Models Faster - Parallelism Deep Dive·Lesson: HANDS-ON: Strategies for Parallelism - Data Parallelism Deep Dive

From the course: Deep Learning: Build & Optimize Neural Networks·Lesson: Setting Up Your Workspace

From the course: Generative AI Engineering and Fine-Tuning Transformers·Lesson: Transfer Learning in NLP