Deep Learning

Deep Learning and Neural Networks in Python

Deep Learning Fundamentals

Build a strong foundation in artificial intelligence by learning to design and implement supervised and unsupervised neural networks using Python.

★ 4.5 (1,574)

Machine Learning and AI Fundamentals with Practical Projects

Deep Learning Fundamentals

Build and deploy machine learning models through guided written projects covering object recognition, classification, and fraud detection.

★ 3.9 (1,271)

Neural Networks with Keras: Practical Deep Learning in Python and R

Deep Learning Fundamentals

Master the fundamentals of artificial neural networks and build predictive models for business applications using Keras and TensorFlow in both Python and R.

★ 4.5 (1,027)

Deep Learning with Python: Build Your First Neural Networks

Deep Learning Fundamentals

Master the essentials of artificial intelligence and build your first neural network models using Python and modern framework conventions.

★ 4.1 (1,334)

Linear Algebra and Calculus for Machine Learning

Deep Learning Fundamentals

Master the essential linear algebra and calculus concepts that form the bedrock of machine learning and data science algorithms.

★ 4.6 (8,403)

Deep Learning with Python: Build Your First Neural Networks

Deep Learning Fundamentals

Learn to build and evaluate predictive deep learning models using Keras and TensorFlow with this step-by-step written guide designed for beginners.

★ 4.5 (1,887)

TensorFlow and Deep Learning with Python: A Practical Guide

Deep Learning Fundamentals

Learn to design, train, and evaluate deep learning models using TensorFlow to solve real-world data challenges with Python.

★ 4.3 (1,103)

TensorFlow and Deep Learning: Build and Train Neural Networks

Deep Learning Fundamentals

Master the fundamentals of neural networks and build your own deep learning models using TensorFlow to solve real-world regression and classification problems.

★ 4.7 (1,037)

Deep Learning Foundations: Build Neural Networks with Python and TensorFlow

Deep Learning Fundamentals

Learn the foundational theory of neural networks and build your own deep learning models from scratch using Python, NumPy, and modern TensorFlow.

★ 4.8 (1,004)

Deep Learning with TensorFlow 2 and Keras: A Practical Guide

Deep Learning Fundamentals

Master neural networks and build intelligent predictive models using Python, TensorFlow, and Keras through clear, step-by-step written tutorials.

★ 4.7 (8,911)

Deep Learning with TensorFlow and Keras: A Practical Guide

Deep Learning Fundamentals

Build, train, and deploy neural networks using the Keras API in TensorFlow, mastering modern deep learning workflows from data pipelines to transfer learning.

★ 4.3 (2,006)

PyTorch for Deep Learning: Hands-On Neural Network Development

Deep Learning Fundamentals

Master PyTorch fundamentals to build, train, and optimize deep learning models and neural networks for real-world artificial intelligence applications.

★ 4.7 (6,070)

Modern Deep Learning in Python: Build and Tune Neural Networks

Deep Learning Fundamentals

Learn to build, optimize, and train neural networks using PyTorch and TensorFlow while exploring modern optimization and regularization techniques.

★ 4.7 (3,737)

Practical Machine Learning and Deep Learning Projects in Python

Deep Learning Fundamentals

Build a portfolio of real-world predictive models and neural networks using Python, from data preprocessing to modern deep learning implementations.

★ 4.2 (298)

Machine Learning on AWS with SageMaker: Build and Deploy Models

Deep Learning Fundamentals

Master end-to-end machine learning workflows in the cloud, from data preparation to deploying modern large language models.

★ 4.4 (4,254)

TensorFlow for Machine Learning: A Project-Based Practical Guide

Deep Learning Fundamentals

Learn to build, train, and deploy deep learning models using TensorFlow and Keras through step-by-step written explanations and real-world practical projects.

★ 4.5 (216)

Python AI and Machine Learning: From Foundations to AI Applications

Deep Learning Fundamentals

Master Python programming, machine learning, and deep learning to build intelligent applications, computer vision models, and modern retrieval-augmented AI systems.

★ 4.5 (508)

Machine Learning with JavaScript and TensorFlow.js

Deep Learning Fundamentals

Learn to build, train, and deploy machine learning models directly in the browser using JavaScript, even if you have no prior data science experience.

★ 4.7 (3,503)

Foundations of Deep Learning with PyTorch

Deep Learning Fundamentals

Go from zero to confident in building classic and modern neural networks for computer vision and natural language processing.

★ 4.4 (869)

AutoML and No-Code Machine Learning with SageMaker

Deep Learning Fundamentals

Learn to build, train, and deploy predictive machine learning models using visual, drag-and-drop tools in SageMaker without writing any code.

★ 3.7 (252)

Introduction to AI and Quantum Computing: Building Hybrid Systems

Deep Learning Fundamentals

Learn the foundational principles of machine learning and quantum algorithms to build next-generation hybrid intelligent systems using Python.

★ 4.3 (219)

MLOps Foundations: Deploying and Scaling Machine Learning Pipelines

Deep Learning Fundamentals

Learn to automate, containerize, and monitor machine learning models in production using Docker, Kubernetes, and modern CI/CD workflows.

★ 4.4 (539)

Deep Learning and Neural Networks with PyTorch and Transformers

Deep Learning Fundamentals

Master the foundational theory of neural networks and build modern deep learning models, including Transformers and language architectures, using PyTorch.

★ 4.5 (3,033)

Deep Learning Fundamentals with Python and Keras

Deep Learning Fundamentals

Build and train neural networks for image and text analysis using Python and Keras, starting from basic concepts to practical model deployment.

★ 4.5 (3,423)