Search result for Stanford deep learning courses Online Courses & Certifications
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AI for Medical Prognosis
by Pranav Rajpurkar , Bora Uyumazturk , Eddy Shyu- 4.7
Approx. 30 hours to complete
These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. This course focuses on tree-based machine learning, so a foundation in deep learning is not required for this course. You can gain a foundation in deep learning by taking the Deep Learning Specialization offered by deeplearning....
Tensorflow 2.0: Deep Learning and Artificial Intelligence
by Lazy Programmer Inc.- 4.6
21.5 hours on-demand video
Tensorflow is Google's library for deep learning and artificial intelligence. Along the way, you will learn about all of the major deep learning architectures, such as Deep Neural Networks, Convolutional Neural Networks (image processing), and Recurrent Neural Networks (sequence data). Deep Reinforcement Learning Stock Trading Bot How to build a Deep Reinforcement Learning Stock Trading Bot...
$23.99
PyTorch: Deep Learning and Artificial Intelligence
by Lazy Programmer Team- 4.8
22.5 hours on-demand video
Although Google's Deep Learning library Tensorflow has gained massive popularity over the past few years, PyTorch has been the library of choice for professionals and researchers around the globe for deep learning and artificial intelligence. Deep Learning has been responsible for some amazing achievements recently, such as: Deep Reinforcement Learning Stock Trading Bot...
$199.99
Online Learning for Businesses - Course 1
by Katie Kormanik- 4
42 mins on-demand video
Online Learning for Businesses (OLB) is an online learning program for learning and development teams and stakeholders to create online learning experiences for clients, customers, and personnel. Katharine Kormanik, your instructor, brings years of experience creating online courses for organizations such as: Stanford Graduate School of Business Stanford Graduate School of Education...
$12.99
Deep Learning in Practice II: Transfer Learning Projects
by Anis Koubaa- 0.0
3 hours on-demand video
Develop commercial-level deep learning applications with state-of-the-art neural networks in Tensorflow 2 and Keras You want to start developing deep learning solutions, but you do not want to lose time in mathematics and theory? This course is the second course on a series of Deep Learning in Practice Courses of Anis Koubaa, namely...
$12.99
Complete Deep Learning In R With Keras & Others
by Minerva Singh- 4.2
8 hours on-demand video
Deep Learning: Master Powerful Deep Learning Tools in R Like Keras, Mxnet, H2O and Others YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R: You will go all the way from carrying out data reading & cleaning to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R....
$12.99
LEARNING PATH: R: Advanced Deep Learning with R
by Packt Publishing- 3.3
6.5 hours on-demand video
Deep learning is the next big thing. You’ll get hands on with various deep learning scenarios and get mind blowing insights from your data. You’ll be able to master the intricacies of R deep learning packages such as TensorFlow. You’ll also learn deep learning in different domains using practical examples from text, image, and speech....
$9.99
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Cutting-Edge AI: Deep Reinforcement Learning in Python
by Lazy Programmer Inc.- 4.7
8.5 hours on-demand video
Apply deep learning to artificial intelligence and reinforcement learning using evolution strategies, A2C, and DDPG This is technically Deep Learning in Python part 11 of my deep learning series, and my 3rd reinforcement learning course. Now that we know deep learning works with reinforcement learning, the question becomes: how do we improve these algorithms?...
$16.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
They are also a foundational tool in formulating many machine learning problems. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Learning in Parametric Models Learning Undirected Models Learning BN Structure Structure Learning Overview Learning Tree Structured Networks Learning General Graphs: Heuristic Search Learning General Graphs: Search and Decomposability...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
After this course, if you have followed the courses of the IBM Specialization in order, you will have considerable practice and a solid understanding in the main types of Machine Learning which are: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Deep Learning Applications and Reinforcement Learning Additional Topics in Deep Learning...