Search result for Neural networks course stanford Online Courses & Certifications
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Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
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Approx. 34 hours to complete
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Introduction to neural networks...
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. 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 Convolutional Neural Networks Recurrent Neural Networks (RNNs) Recurrent Neural Networks...
Deep Learning with Python and PyTorch
by Joseph Santarcangelo- 0.0
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6 Weeks
In the first course, you learned the basics of PyTorch; in this course, you will learn how to build deep neural networks in PyTorch. Apply knowledge of Deep Neural Networks and related machine learning methods Build and Train Deep Neural Networks using PyTorch...
$99
Keras: Deep Learning in Python
by Francisco Juretig- 3.7
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10 hours on-demand video
Do you want to use neural networks for classifying images, predicting prices, and classifying samples in several categories? Keras is the most powerful library for building neural networks models in Python. In terms of the course curriculum, we cover most of what Keras can actually do: such as the Sequential model, the model API, Convolutional neural nets, LSTM nets, etc....
$13.99
Complete Tensorflow 2 and Keras Deep Learning Bootcamp
by Jose Portilla- 4.7
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19 hours on-demand video
This course will guide you through how to use Google's latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow 2 framework in a way that is easy to understand. Artificial Neural Networks...
$17.99
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data....
Introduction to Machine Learning in R
by Holczer Balazs- 4
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8 hours on-demand video
Machine learning, neural networks, regression, SVM, naive bayes classifier, bagging, boosting, random forest classifier This course is about the fundamental concepts of machine learning, facusing on neural networks. neural networks in R feedforward neural networks and its applications credit scoring with neural networks...
$12.99
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Machine Learning: Beginner Reinforcement Learning in Python
by Milo Spencer-Harper- 4.6
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2 hours on-demand video
This course is designed for beginners to machine learning. Some of the most exciting advances in artificial intelligence have occurred by challenging neural networks to play games. Using this example I will teach you Deep Q Learning - a revolutionary technique invented by Google DeepMind to teach neural networks to play chess, Go and Atari....
$11.99
TensorFlow 2.0 Practical Advanced
by Dr. Ryan Ahmed, Ph.D., MBA- 4
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12.5 hours on-demand video
The purpose of this course is to provide students with practical knowledge of building, training, testing and deploying Advanced Artificial Neural Networks and Deep Learning models using TensorFlow 2. The course provides students with practical hands-on experience in training Advanced Artificial Neural Networks using real-world dataset using TensorFlow 2. Basic knowledge of programming and Artificial Neural Networks is recommended....
$14.99
Deep Learning with Tensorflow
by Saeed Aghabozorgi , Romeo Kienzler , Samaya Madhavan- 0.0
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5 Weeks
You will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained....
$99
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