Search result for Neural network and deep learning pdf Online Courses & Certifications
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Practical Machine Learning by Example in Python
by Madhu Siddalingaiah- 0.0
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8 hours on-demand video
A Deep Dive into Building Machine Learning and Deep Learning models Are you a developer interested in building machine learning and deep learning models? The last three sections are very intresting, they are practical exercices for deep learning well presented and commented - Iheb GANDOUZ Build, train, and test deep learning models using the popular Tensorflow 2 and Keras APIs...
$12.99
Machine Learning Using SAS Viya
by Jeff Thompson , Catherine Truxillo- 4.7
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Approx. 35 hours to complete
SAS Viya Tools for SAS Visual Data Mining and Machine Learning Regularizing and Tuning the Hyperparameters of a Machine Learning Model Demo: Building a Neural Network Using the Default Settings Improving the Neural Network Model Neural Network Architectures Demo: Modifying the Neural Network Architecture Regularizing and Tuning the Hyperparameters of a Neural Network Model...
Deep Learning For Computer Vision
by Yonah Odhiambo- 3.9
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6 hours on-demand video
Build cool and state of the art computer vision projects with deep learning. And all this, well, we shall be doing without bringing in unnecessary math logic behind it all. In this course you will learn about the most widely used type of deep neural networks (Convolution neural network). Build a Rest API to serve your deep learning models....
$9.99
Practical Reinforcement Learning
by Pavel Shvechikov , Alexander Panin- 4.3
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Approx. 26 hours to complete
Welcome to the Reinforcement Learning course. - using deep neural networks for RL tasks - and, of course, teaching your neural network to play games We'll also use it for seq2seq and contextual bandits. Reinforcement learning vs all State and Action Value Functions Policy and value iteration Model-free reinforcement learning Supervised & Reinforcement Learning...
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
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Approx. 22 hours to complete
You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. You will learn about feature construction techniques for RL, and representation learning via neural networks and backprop. -Understand fixed basis and neural network approaches to feature construction...
Keras Deep Learning Python Crash Course: Learn Keras Today!
by Ivan Westen- 3.7
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2 hours on-demand video
Deep Learning is a type of Machine Learning technique that uses neural network to make predictions, after being trained on a huge dataset. Keras is one of the most popular and easy application to use deep learning frameworks, by which we can build a very complex deep learning model very quickly, just with a few lines of codes....
$12.99
Pictures and Videos colorization by Artificial Intelligenceā
by SMARTER ACADEMY ā- 4.1
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1 hour on-demand video
Simple Introduction to artificial intelligence (AI) and deep learning for image processing and computer vision. TOP References and papers for colorization Deep learning algorithms. The Deep learning masterpiece is built on top of an ensemble machine learning of artificial neural networks (ANNs) that can upscale, add FPS, colorize, remove noise, and much more....
$12.99
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Using GPUs to Scale and Speed-up Deep Learning
by Saeed Aghabozorgi- 0.0
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5 Weeks
In this course, you'll understand what GPU-based accelerated hardware is and how it can benefit your deep learning scaling needs. You'll also deploy deep learning networks on GPU accelerated hardware for several problems, including the classification of images and videos. Train and deploy deep learning networks for image and video classification as well as for object recognition....
$99
Generative Deep Learning with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
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Approx. 23 hours to complete
a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. Extracting Style and Content Features Total Loss and Content Loss Reference: Exploring the structure of a real-time, arbitrary neural artistic stylization network Reference: - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks ā, tf....
Understanding pyTorch for beginners
by Dan We- 4.3
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2 hours on-demand video
We will first develop a simple neural network in python and then implement pyTorch functionalities step by step to make our code easier to understand, shorter and more flexible. pyTorch is a great deep learning framework for pyTorch and develop a better understanding of how it works should help you to apply it to your own deep learning projects...
$12.99
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