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"

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

  • Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

  • Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Image Analysis, Convolutional Neural Networks, Computer Vision, Applied Machine Learning, Model Evaluation, Deep Learning, Data Preprocessing

  • Skills you'll gain: Keras (Neural Network Library), Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Deep Learning, Python Programming, Performance Tuning, Machine Learning

  • Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning

  • Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

  • Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Model Training, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Model Evaluation, Deep Learning, Machine Learning

  • Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision

  • Skills you'll gain: Tensorflow, Convolutional Neural Networks, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Machine Learning

  • Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture

  • Skills you'll gain: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines

  • Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Model Training, Recurrent Neural Networks (RNNs), Machine Learning, Deep Learning