Search result for Online learning neural network Online Courses & Certifications
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Intro to Deep Learning with PyTorch
by Luis Serrano , Alexis Cook , Soumith Chintala , Cezanne Camacho , Mat Leonard- 0.0
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Approx. 2 months
Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. In this course, you’ll gain practical experience building and training deep neural networks using PyTorch. Learn the basics of deep learning and implement your own deep neural networks with PyTorch...
Free
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. Introduction to Deep Learning Supervised Learning with Neural Networks Introduction to Deep Learning Neural Networks Basics Deep Learning Honor Code Neural Network Basics Neural Network Representation Deep L-layer Neural Network...
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
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Approx. 13 hours to complete
Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Introduction to Deep Learning Deep Neural Networks Deep Neural Networks and TensorFlow Supervised Learning Models Introduction to Convolutional Neural Networks (CNNs) Convolutional Neural Networks (CNNs) for Classification Convolutional Neural Networks (CNNs) Architecture Convolutional Neural Networks...
Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
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Approx. 2 months
Learn how to build deep learning applications with TensorFlow. and take advantage of it for TensorFlow-Lite and TensorFlow-Serving lesson 7 Time Series Forecasting Learning from sequential data with recurrent neural networks lesson 8 Introduction to TensorFlow Lite Learn how you can use TensorFlow lite to build machine learning apps on Android iOS and iOT devices...
Free
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Neural Network Optimizers and Keras Convolutional Neural Network Architectures - Part 1 Convolutional Neural Network Architectures - Part 2 Convolutional Neural Network Architectures - Part 3 Deep Learning Applications and Reinforcement Learning...
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Convolutional Neural Network The Recurrent Neural Network Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
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Approx. 31 hours to complete
The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently. Module 2: Machine Learning on AWS Neural Network Essentials: Fully Connected Neural Network Essentials: Convolution and Max Pooling Neural Network Training Neural Network Evaluation...
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Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
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Approx. 24 hours to complete
We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Introduction to deep learning Deep feed forward neural networks Convolutional Neural Networks Recurrent neural networks Auto encoders and representation learning Methods for neural network training The bias-variance tradeoff in deep learning Neural Network Debugging with TensorBoard Methods of parallel neural network training...
Sequences, Time Series and Prediction
by Laurence Moroney- 4.7
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Approx. 13 hours to complete
To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Feeding windowed dataset into neural network Single layer neural network More on single layer neural network Deep neural network training, tuning and prediction Deep neural network Single layer neural network notebook Deep neural network notebook...
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
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Approx. 12 hours to complete
1-1 Brief Introduction to Machine Learning, Learning from Example 1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 3-2 Learning Decision Tree, Information Neural Network and Deep learning 4-1 Introduction to Neural Network 4-2 Single-Layer Network and Perceptron Learning Rule...
