Search result for Deep learning optimization Online Courses & Certifications
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
Approx. 22 hours to complete
In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. Practical Aspects of Deep Learning Weight Initialization for Deep Networks Practical aspects of Deep Learning Optimization Algorithms Adam Optimization Algorithm Deep Learning Frameworks...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
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. Introduction to optimization What Deep Learning is and is not Deep learning as a language Deep Learning for images Training tips and tricks for deep CNNs Deep learning for sequences...
Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
by Kimberly Karalekas- 0.0
Approx. 5 hours to complete
The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices. Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications Optimization How to use the Model Optimizer to convert models from popular machine learning frameworks....
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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. TD Learning Q Learning Benefits of Reinforcement Learning in Your Trading Strategy Idiosyncrasies and challenges of data driven learning in electronic trading...
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Deep Learning Deep Learning and Transfer Learning Deep Learning Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
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 Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 3-2 Learning Decision Tree, Information Neural Network and Deep learning 4-2 Single-Layer Network and Perceptron Learning Rule 4-4 Cascade Correlation Neural Networks, Deep or Shallow Structure...
Artificial Intelligence for Business
by Hadelin de Ponteves- 4.4
15 hours on-demand video
Part 2 - Minimizing CostsCase Study: Minimizing the Costs in Energy Consumption of a Data CenterAI Solution: Deep Q-Learning Three different AI models, including Q-Learning, Deep Q-Learning, and Thompson Sampling Build an Optimization Model Implement Deep Q-Learning Implement Online Learning...
$19.99
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Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
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. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Deep and Bi-directional RNNs (Optional) Intro to optimization in deep learning: Gradient Descent...
Combinatorial Problems and Ant Colony Optimization Algorithm
by Seyedali Mirjalili- 4.7
5 hours on-demand video
One of the most well-regarded of them is Ant Colony Optimization that allows humans to solve some of the most challenging problems in history. Difficulty of combinatorial optimization problems Ant Colony Optimization will be the main algorithm, which is a search method that can be easily applied to different applications including Machine Learning, Data Science, Neural Networks, and Deep Learning....
$13.99