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Deep Learning
by Mat Leonard , Luis Serrano , Cezanne Camacho , Alexis Cook , Jennifer Staab , Sean Carrell , Ortal Arel , Jay Alammar- 0.0
4 months
Enroll now to build and apply your own deep neural networks to produce amazing solutions to important challenges. Build convolutional networks for image recognition, recurrent networks for sequence generation, generative adversarial networks for image generation, and learn how to deploy models accessible from a website. Master building and implementing neural networks for image recognition, sequence generation, image generation, and more....
Social Network Analysis
by Martin Hilbert- 4.7
Approx. 10 hours to complete
In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. Formalizing Networks How do Networks Evolve? Scale-Free Networks Small World Networks...
An Introduction to Practical Deep Learning
by Andres Rodriguez , Nikhil Murthy , Hanlin Tang- 4.3
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. Convolutional Neural Networks (CNN), Fine-Tuning and Detection Convolutional Neural Networks Exercise 3: Convolutional Neural Networks Recurrent Neural Networks (RNN) Recurrent Neural Networks...
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
Approx. 8 hours to complete
• 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. Neurons and Neural Networks Artificial Neural Networks Introduction to Neural Networks and Deep Learning Artificial Neural Networks Artificial Neural Networks Shallow Versus Deep Neural Networks Convolutional Neural Networks Recurrent Neural Networks...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
Introduction to Neural Networks Introduction to Neural Networks - Part 1 Introduction to Neural Networks - Part 2 Introduction to Neural Networks - Part 3 Introduction to Neural Networks - Part 4 Introduction to Neural Networks Notebook - Part 1 Generative Adversarial Networks - Part 1 Generative Adversarial Networks - Part 2...
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
Approx. 13 hours to complete
Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. Deep Neural Networks Deep Neural Networks and TensorFlow Introduction to Convolutional Neural Networks (CNNs) Convolutional Neural Networks (CNNs) for Classification Convolutional Neural Networks (CNNs) Architecture...
Artificial Intelligence II - Hands-On Neural Networks (Java)
by Holczer Balazs- 4.3
5 hours on-demand video
In the beginning, other techniques such as Support Vector Machines outperformed neural networks, but in the 21th century neural networks again gain popularity. In spite of the slow training procedure, neural networks can be very powerful. Hopfield neural networks how to construct an autoassociative memory with neural networks feedforward neural networks applications of neural networks...
$12.99
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Cisco CCNP Enterprise: 300-420 ENSLD & 300-425 ENWLSD
by Test Prep Expert- 0.0
Practice Tests for CCNP Enterprise Concentration Exam: Designing Cisco Enterprise Networks, Wireless Networks 300-420 ENSLD: Designing Cisco Enterprise Networks Advanced enterprise campus networks 300-425 ENWLSD: Designing Cisco Enterprise Wireless Networks...
$12.99
Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
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. Neural Networks for Sentiment Analysis Neural Networks for Sentiment Analysis Trax: Neural Networks Neural Networks for Sentiment Analysis Trax: Neural Networks Recurrent Neural Networks for Language Modeling Recurrent Neural Networks Recurrent Neural Networks Siamese Networks Siamese Networks...
Deep Convolutional Generative Adversarial Networks (DCGAN)
by Academy of Computing & Artificial Intelligence- 3.6
2.5 hours on-demand video
Learn to create Generative Adversarial Networks (GAN) & Deep Convolutional Generative Adversarial Networks (DCGAN) Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) are one of the most interesting and trending ideas in computer science today. Basic knowledge of neural networks...
$12.99