Deep Learning

Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers - also known as deep neural networks - to model and understand complex patterns and relationships in datasets. Coursera's deep learning catalogue teaches you the underlying principles and methods of deep learning. You'll learn how to build and deploy deep neural networks, utilise various techniques for training and optimising deep learning models, and understand their applications across various industries including healthcare, finance, and autonomous vehicles. You'll further grasp the concepts of Convolutional Networks, Recurrent Networks, and Generative Adversarial Networks, preparing you for various roles in the field of AI and data science.

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Results for "Deep Learning"

  • DeepLearning.AI

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Python Programming, Model Training, Model Optimization

    4.9 stars, 124K reviews, Intermediate, Course, 1 - 4 Weeks

  • IBM

    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

    4.5 stars, 4.3K reviews, Intermediate, Professional Certificate, 3 - 6 Months

  • IBM

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Autoencoders, Model Training, Regression Analysis, Machine Learning

    4.7 stars, 2.1K reviews, Intermediate, Course, 1 - 3 Months

  • IBM

    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, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    4.5 stars, 108 reviews, Intermediate, Course, 1 - 3 Months

  • EDUCBA

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Model Optimization, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming

    4.6 stars, 51 reviews, Beginner, Specialization, 1 - 3 Months

  • DeepLearning.AI

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Deep Learning, Generative Model Architectures, Model Training, Data Pipelines, Embeddings, Artificial Neural Networks, Computer Vision, Data Preprocessing, Model Evaluation, Natural Language Processing, Machine Learning

    4.8 stars, 130 reviews, Intermediate, Professional Certificate, 1 - 3 Months

  • Pearson

    Skills you'll gain: Large Language Modeling, Deep Learning, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Network Architecture

    Intermediate · Specialization · 1 - 4 Weeks

  • Illinois Tech

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Computer Vision, Natural Language Processing

    4.5 stars, 37 reviews, Beginner, Course, 1 - 3 Months

  • Packt

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Tensorflow, Data Analysis, Python Programming, Artificial Intelligence, Machine Learning

    4.3 stars, 7 reviews, Beginner, Specialization, 3 - 6 Months

  • Coursera

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming

    4.4 stars, 233 reviews, Intermediate, Guided Project, Less Than 2 Hours

  • Coursera

    Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines

    Advanced · Specialization · 1 - 3 Months

  • MathWorks

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Matlab, Deep Learning, Model Optimization, Data Preprocessing, Software Visualization, Classification Algorithms, Performance Tuning, Data Analysis

    4.9 stars, 37 reviews, Beginner, Specialization, 1 - 3 Months