Filter by
The language used throughout the course, in both instruction and assessments.
Results for "building slp and mlp models"
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning Methods, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning, Application Performance Management
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence, Keras (Neural Network Library), Artificial Neural Networks, PyTorch (Machine Learning Library), Machine Learning, Deep Learning, Data Processing, Feature Engineering, Algorithms, Tensorflow, Computer Programming, Machine Learning Methods, Unstructured Data, Regression Analysis, Bayesian Statistics
Skills you'll gain: Generative AI, OpenAI, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Machine Learning, Open Source Technology
Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Natural Language Processing, Performance Tuning
- Status: Free
Google Cloud
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Unstructured Data, Deep Learning
Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Transformation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, Data Pipelines, NumPy
Imperial College London
Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Machine Learning Methods, Python Programming, Time Series Analysis and Forecasting
Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Google Cloud Platform, Scikit Learn (Machine Learning Library), Data Cleansing, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Data Analysis, Data Management, Data Governance, Workflow Management
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Network Architecture, Machine Learning
Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Data Warehousing, Performance Tuning, Business Intelligence, SQL, Data Analysis, Version Control
Duke University
Skills you'll gain: Databricks, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Artificial Intelligence
- Status: [object Object]
Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Unit Testing, Cloud Computing Architecture, Server Side, Application Deployment, Kubernetes, React Redux, Cloud Services, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills
In summary, here are 10 of our most popular building slp and mlp models courses
- Generative AI with Large Language Models: DeepLearning.AI
- Natural Language Processing: DeepLearning.AI
- Generative AI: Foundation Models and Platforms: IBM
- Introduction to Large Language Models: Google Cloud
- Transformer Models and BERT Model: Google Cloud
- Data Analysis with Python: IBM
- Customising your models with TensorFlow 2: Imperial College London
- Machine Learning on Google Cloud: Google Cloud
- Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
- Developing Data Models with LookML: Google Cloud