Search result for Neural networks and deep learning nielsen Online Courses & Certifications
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An Introduction to Practical Deep Learning
by Andres Rodriguez , Nikhil Murthy , Hanlin Tang- 4.3
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Approx. 17 hours to complete
You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics. Introduction to Deep Learning and Deep Learning Basics Introduction to Deep Learning and Deep Learning Basics Convolutional Neural Networks (CNN), Fine-Tuning and Detection...
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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Approx. 8 hours to complete
• describe what a neural network is, what a deep learning model is, and the difference between them. • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • build deep learning models and networks using the Keras library. Introduction to Neural Networks and Deep Learning Introduction to Neural Networks and Deep Learning...
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. • understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Introduction to Deep Learning Deep Neural Networks Deep Neural Networks and TensorFlow Introduction to Convolutional Neural Networks (CNNs) Unsupervised Deep Learning Models (Cont'd) and scaling...
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. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology....
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. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
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Approx. 22 hours to complete
If you’d like to prepare additionally, you can take Course 1: Neural Networks and Deep Learning of the Deep Learning Specialization. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Neural Networks for Sentiment Analysis Neural Networks for Sentiment Analysis Trax: Neural Networks...
Deep Learning
by Mat Leonard , Luis Serrano , Cezanne Camacho , Alexis Cook , Jennifer Staab , Sean Carrell , Ortal Arel , Jay Alammar- 0.0
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4 months
You will learn from experts in the field, and gain Enroll now to build and apply your own deep neural networks to produce amazing solutions to important challenges. Become an expert in neural networks, and learn to implement them using the deep learning framework PyTorch. Master building and implementing neural networks for image recognition, sequence generation, image generation, and more....
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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
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. Deep Learning and Transfer Learning Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
Computer Vision
by Sebastian Thrun , Cezanne Camacho , Alexis Cook , Juan Delgado , Jay Alammar , Ortal Arel , Luis Serrano- 0.0
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3 Months
Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Work on a variety of computer vision and deep learning applications from basic image processing to automatic image captioning....
