Search result for Deep learning applications Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 371 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
by Reza Farivar , Roy H. Campbell- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! The last topic we cover in week four introduces Deep Learning technologies including Theano, Tensor Flow, CNTK, MXnet, and Caffe on Spark. 9 Introduction to Deep Learning...
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. Ensemble Learning...
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
Learners should have a working knowledge of machine learning, intermediate Python including experience with a deep learning framework (e. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization....
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
This course will show you how machine learning works. Deep learning DEMO - Autotuning a machine learning model (optional) Machine learning software: dos and don'ts for choosing a tool Machine learning software: how tools vary and how to choose one Uplift modeling IV: improving churn modeling, plus other applications Deep learning...
Deep Learning with Python and PyTorch
by Joseph Santarcangelo- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
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. Apply knowledge of Deep Neural Networks and related machine learning methods Build Deep learning pipelines...
$99
Python Programming
by Learnkart Technology Pvt Ltd- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
Python is the future of AI and Machine Learning – Adrian Rosebrock, Author of 'Deep Learning for Computer Vision with Python' Be industry prepared to quickly create and send venture grade Python applications utilizing off-the-rack libraries for all universally useful use...
$12.99
Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 33 hours to complete
They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. We will also see applications of Bayesian methods to deep learning and how to generate new images with it. Learning with priors GP for machine learning Applications of Bayesian optimization...
Related searches
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 53 hours to complete
Welcome to this course on Probabilistic Deep Learning with TensorFlow! This is a crucial aspect when using deep learning models in applications such as autonomous vehicles or medical diagnoses; we need the model to know what it doesn't know. Welcome to Probabilistic Deep Learning with TensorFlow 2 The need for uncertainty in deep learning models...
Deep Learning For Computer Vision
by Yonah Odhiambo- 3.9
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
Build cool and state of the art computer vision projects with deep learning. In this course you will learn about the most widely used type of deep neural networks (Convolution neural network). You will learn how to use Keras in your applications to solve problems and package your models. Build a Rest API to serve your deep learning models....
$9.99
Python in Containers
by Kris Celmer- 4.3
-
![]()
![]()
![]()
![]()
![]()
24 hours on-demand video
Whether your focus is in Machine Learning & Data Science, or you use Python as General Programming Language, you must understand Docker & Kubernetes. "This is a deep deep deep dive in Docker with python. Develop and Explore Machine Learning & Data Science Jupyter Notebooks in Docker Run Machine Learning Models in Production with Kubernetes and Docker Swarm...
$14.99
Previous
