Deep Learning
Dive into the world of artificial neural networks. Learn to build, train, and optimize deep learning models for complex tasks using frameworks like TensorFlow and PyTorch.
75 courses
Build a strong foundation in artificial intelligence by learning to design and implement supervised and unsupervised neural networks using Python.
Master the fundamentals of artificial neural networks and build predictive models for business applications using Keras and TensorFlow in both Python and R.
Master the essentials of artificial intelligence and build your first neural network models using Python and modern framework conventions.
Learn to build and evaluate predictive deep learning models using Keras and TensorFlow with this step-by-step written guide designed for beginners.
Master the fundamentals of predictive deep learning and build neural network models for business analysis using R without complex math or coding experience.
Learn to design, train, and evaluate deep learning models using TensorFlow to solve real-world data challenges with Python.
Master the fundamentals of neural networks and build your own deep learning models using TensorFlow to solve real-world regression and classification problems.
Build and train convolutional neural networks for image classification using Keras and TensorFlow in R, starting from foundational concepts to practical models.
Learn the foundational theory of neural networks and build your own deep learning models from scratch using Python, NumPy, and modern TensorFlow.
Master neural networks and build intelligent predictive models using Python, TensorFlow, and Keras through clear, step-by-step written tutorials.
Build, train, and deploy neural networks using the Keras API in TensorFlow, mastering modern deep learning workflows from data pipelines to transfer learning.
Master PyTorch fundamentals to build, train, and optimize deep learning models and neural networks for real-world artificial intelligence applications.
Learn to build, optimize, and train neural networks using PyTorch and TensorFlow while exploring modern optimization and regularization techniques.
Learn to build, train, and deploy deep learning models using TensorFlow and Keras through step-by-step written explanations and real-world practical projects.
Go from zero to confident in building classic and modern neural networks for computer vision and natural language processing.
Master the foundational theory of neural networks and build modern deep learning models, including Transformers and language architectures, using PyTorch.
Build and train neural networks for image and text analysis using Python and Keras, starting from basic concepts to practical model deployment.
Build modern artificial intelligence models for computer vision, natural language processing, and generative tasks using the PyTorch framework.
Learn to build, train, and deploy artificial intelligence models for image recognition, sentiment analysis, and data prediction.
Build, train, and deploy artificial neural networks for image recognition and data prediction using Java and the Neuroph framework.
Showing 20 of 75 courses