Search result for Deep reinforcement learning course Online Courses & Certifications
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R: Neural Nets and CNN Architecture in R - Masterclass!
by Packt Publishing- 3.6
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6 hours on-demand video
The second course, Deep Learning Architecture for Building Artificial Neural Networks, covers an introduction to deep learning and its architectures with real-world use cases. The course starts off with an introduction to Deep Learning and the different tools, hardware, and software before we begin to understand the different training models. ) Deep Learning with TensorFlow (Packt Publishing Ltd....
$11.99
Machine Learning and Deep Learning using Tensor Flow & Keras
by Indra Programmer- 2
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11 hours on-demand video
A-Z Course for Google's Deep Learning Framework - TensorFlow with Python! Learn to use functions and apply Codes. There are many Deep Learning Frameworks out there, so why use TensorFlow? Become a machine learning guru today! We'll see you inside the course! Understand the intuition behind Machine Learning and its applications Understand the Deep Learning Frameworks and the performance comparison...
$12.99
Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS
by AI Sciences- 4.3
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90 hours on-demand video
Mastering Data Science & Machine Learning using Python-A to Z-Learn Statistics, Preprocessing & Reinforcement Learning We start with the very basics of Probability, go through inference and estimations, link famous machine learning techniques with conditional probability, and finally, show that Deep Neural Networks indeed learn a probability function eventually. Machine Learning Crash Course...
$9.99
Solve Business Problems with AI and Machine Learning
by Renée Cummings- 0.0
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Approx. 11 hours to complete
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. Solve Business Problems with AI and Machine Learning Course Introduction Machine Learning Model Machine Learning Workflow Concept Drift and Transfer Learning Differences Between Traditional Programming and Machine Learning Differences Between Supervised and Unsupervised Learning...
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
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Approx. 53 hours to complete
Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. Welcome to Probabilistic Deep Learning with TensorFlow 2 The need for uncertainty in deep learning models...
Basic Information Literacy
by Bryan Sajecki , Nicole Thomas , Jocelyn Swick-Jemison , Cynthia A. Tysick- 4.9
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Approx. 13 hours to complete
This course will cover creating a workable project/presentation, understanding the various types of information sources, searching the various types of information sources, recognizing faulty information or bias, using proper citation conventions, avoiding plagiarism, and skimming information to pull relevant details. Course Introduction: Understanding Information Literacy Guidelines on Information Literacy for Lifelong Learning Guidelines on Information Literacy for Lifelong Learning...
Deep Learning CNN: Convolutional Neural Networks with Python
by AI Sciences- 4.5
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14 hours on-demand video
Comprehensive Course Description: They are everywhere now, ranging from audio processing to more advanced reinforcement learning (i. The course ‘Mastering Convolutional Neural Networks, Theory and Practice in Python, TensorFlow 2. The course is: How is this course different? Transfer Learning Practical techniques for transfer learning An overview of concepts of Deep Learning theory....
$14.99
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Deep Learning with Python and PyTorch
by Joseph Santarcangelo- 0.0
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6 Weeks
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. Including principal component analysis, data whitening, shallow autoencoders, deep autoencoders, transfer learning with autoencoders, and autoencoder applications....
$99
Deep Learning with Python and PyTorch
by Joseph Santarcangelo- 0.0
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6 Weeks
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. Including principal component analysis, data whitening, shallow autoencoders, deep autoencoders, transfer learning with autoencoders, and autoencoder applications....
$99
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
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Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. Machine Learning and Deep Learning History of Machine Learning and Deep Learning...
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