Search result for Neural network and deep learning pdf Online Courses & Certifications
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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 Neural Network and Deep learning 4-1 Introduction to Neural Network 4-2 Single-Layer Network and Perceptron Learning Rule 4-4 Cascade Correlation Neural Networks, Deep or Shallow Structure 4-5 Deep Learning: Convolutional Neural Networks 5-6 Deep Q-learning and Improvement...
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 course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image....
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
This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. Introduction to deep learning...
Sequences, Time Series and Prediction
by Laurence Moroney- 4.7
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Approx. 13 hours to complete
The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Deep neural network training, tuning and prediction Deep neural network Deep neural network notebook...
Deep Learning for Business
by Jong-Moon Chung- 4.4
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Approx. 8 hours to complete
Business with Deep Learning & Machine Learning 2 Business Strategy with Machine Learning & Deep Learning 3 Why is Deep Learning Popular Now? Deep Learning Computing Systems & Software Basics of Deep Learning Neural Networks 3 Neural Network Learning (Backpropagation) 1 Deep Learning with CNN (Convolutional Neural Network) 2 Deep Learning with RNN (Recurrent Neural Network)...
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. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You'll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. Developed by Google and Udacity, this course teaches a practical approach to deep learning for software developers....
Free
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. We’ll review the differences between AWS Deep Learning AMIs and Deep Learning containers. AWS Deep Learning AMIs Neural Network Essentials: Convolution and Max Pooling...
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AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
The next topics cover best practices for different types of models including linear models, tree-based models, and neural networks. Explain the use of linear and logistic regression in supervised learning applications Explain the use of Neural Networks in supervised learning applications Discuss the major variants of neural networks and recent advances Building Machine Learning and Deep Learning Models...
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
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Approx. 18 hours to complete
You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. Neural Network Models Deep Learning Deep Neural Networks (DNN) versus Recurrent Neural Networks (RNN) Recurrent Neural Network Architecture Demo: Deep Learning Sentiment Prediction Using the R API Demo: Deep Learning Sentiment Prediction Using the Python API...
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. Neural Network Based Reinforcement Learning...
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