Search result for Deep reinforcement learning course Online Courses & Certifications
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Understanding pyTorch for beginners
by Dan We- 4.3
2 hours on-demand video
If you have prior experience in tensorflow you might also like to go through this course to decide for yourself whether pyTorch is the right deep learning framework for you 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
Modern Artificial Intelligence Masterclass: Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
15 hours on-demand video
The course provides students with practical hands-on experience using real-world datasets. Furthermore, the course has been carefully designed to cover key aspects of AI such as Machine learning, deep learning, and computer vision. Who this course is for: Develop Deep Learning model to automate and optimize the brain tumor detection processes at a hospital....
$12.99
Artificial Neural Networks (ANN) with Keras in Python and R
by Start-Tech Academy- 4.2
11 hours on-demand video
If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical....
$12.99
Deep Learning: Visual Exploration
by Vladimir Grankin- 4.3
4 hours on-demand video
Visual introduction to Deep Learning based on simple deep neural network. Take this course if you want to understand the magic behind deep neural networks and to get a excellent visual intuition on what is happening under the hood when data is travelling through the network and ends up as a prediction at it's output....
$29.99
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
Approx. 22 hours to complete
This fourth and final course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate continues on from the previous course by introducing more, and in some cases, more advanced algorithms used in both machine learning and deep learning. Build Decision Trees, SVMs, and Artificial Neural Networks Course Introduction Ensemble Learning...
TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
17.5 hours on-demand video
CNNs, RNNs and other neural networks for unsupervised and supervised deep learning TensorFlow is quickly becoming the technology of choice for deep learning, because of how easy TF makes it to build powerful and sophisticated neural networks. This is a comprehensive, from-the-basics course on TensorFlow and building neural networks....
$12.99
Machine Learning & Tensorflow - Google Cloud Approach
by Notez (Rent a Mind)- 3.2
3 hours on-demand video
This course is fun and exciting, but at the same time we dive deep into Machine Learning. Moreover, the course is packed with practical exercises which are based on real-life examples. The Mechine Learning block diagram, Deep learning & Neural Networks, Labels, Understanding Tenser Flow, Computational Graphs, Tensors, Linear regression , Placeholders & variables,...
$12.99
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machine learning for beginners - neural networks
by Dan We- 4.3
4 hours on-demand video
What is machine learning / ai ? By joining this course you can leverage the knowledge you acquired from my first two courses (Machine Learning for Beginners and machine learning for beginners - deep dive) and get the chance to dive into theworld of neural networks. Again this course is not for students who like to learn theory....
$12.99
The Inclusive STEM Teaching Project
by Susie Calkins , Sarah Chobot Hokanson , Anna Conway , Donald Gillian-Daniel- 0.0
6 Weeks
The Inclusive STEM Teaching Project is a 6 week course designed to advance the awareness, self-efficacy, and the ability of faculty, postdocs, and doctoral students to cultivate inclusive STEM learning environments for all their students and to develop themselves as reflective, inclusive practitioners. Use their student learning data and feedback to inform pedagogical and curricular choices...
$49
Modeling and Debugging Embedded Systems
by David Sluiter- 4.6
Approx. 8 hours to complete
This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course students will learn : Access to Course Resources Deep Dive: Automotive and Transportation Promoting Technical Ideas, Learning from Failures Segment 3 - Learning from Failures...