Deep Learning Courses
Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.
Popular Deep Learning Courses and Certifications
Status: NewStatus: Free TrialSkills you'll gain: ASP.NET, JavaScript Frameworks, Application Programming Interface (API), Web Applications, Full-Stack Web Development, Restful API, .NET Framework, UI Components, Back-End Web Development, Object-Relational Mapping, Application Frameworks, Model View Controller, User Interface (UI), Data Modeling, Data Validation
Status: NewStatus: Free TrialSkills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Scripting Languages, Data Structures
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Model Deployment, Data Modeling, Data Storage, Data Processing, Data Management
Google Cloud
Skills you'll gain: Vector Databases, Embeddings, Google Cloud Platform, Database Administration, Database Design, Query Languages, Database Management Systems, Generative AI, Machine Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Text Mining
Status: NewSkills you'll gain: Data Mining, Logistic Regression, Model Evaluation
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Performance Tuning, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging
Status: Free TrialSkills you'll gain: Photo Editing, Photography, Image Quality, Editing, Storytelling
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
Status: NewPackt
Skills you'll gain: Large Language Modeling, Model Deployment, Natural Language Processing, Application Deployment, Transfer Learning, Embeddings, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Processing, Application Programming Interface (API), Model Evaluation, Automation, Software Installation
Status: PreviewGoogle Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Model Deployment, Natural Language Processing
Status: NewSkills you'll gain: Scripting Languages
In summary, here are 10 of our most popular deep learning courses
- Building Applications with Blazor Server & WASM: Packt
- GNU Octave: Apply, Implement & Design Functions: EDUCBA
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- Configuring Vector Search in AlloyDB: Google Cloud
- Encoder-Decoder Architecture - 繁體中文: Google Cloud
- Survey of Data Science: Packt
- Production Machine Learning Systems - Português Brasileiro : Google Cloud
- Master Black & White Editing in Affinity Photo: Skillshare
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- Mastering spaCy: Packt
