Search result for Deep learning neural networks Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 411 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 35 hours to complete
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. Foundations of Convolutional Neural Networks Deep Convolutional Models: Case Studies Classic Networks Networks in Networks and 1x1 Convolutions...
Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 2 months
Learn how to build deep learning applications with TensorFlow. and take advantage of it for TensorFlow-Lite and TensorFlow-Serving lesson 7 Time Series Forecasting Learning from sequential data with recurrent neural networks lesson 8 Introduction to TensorFlow Lite Learn how you can use TensorFlow lite to build machine learning apps on Android iOS and iOT devices...
Free
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
Explain the use of linear and logistic regression in supervised learning applications Explain the use of Neural Networks in supervised learning applications Discuss the major variants of neural networks and recent advances Building Machine Learning and Deep Learning Models Neural Networks Introduction to neural networks Getting Started with Convolutional Neural Networks and TensorFlow (Hands-on)...
Mathematics & Statistics of Machine Learning & Data Science
by Cinnamon TechX- 4.2
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
Learn Mathematics and Statistics of Machine Learning, Artificial Intelligence, Neural Networks and Deep Learning Deep learning is getting lots of attention lately and for good reason. A key advantage of deep learning networks is that they often continue to improve as the size of your data increases. Mathematics and Statistics behind Neural Networks Mathematics and Statistics behind Deep Learning...
$12.99
Modern Deep Convolutional Neural Networks with PyTorch
by Denis Volkhonskiy- 4.2
-
![]()
![]()
![]()
![]()
![]()
2 hours on-demand video
Image Recognition with Convolutional Neural Networks. Advanced techniques for Deep Learning and Representation learning Dear friend, welcome to the course "Modern Deep Convolutional Neural Networks"! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you. Basics of Deep Learning: Linear layers, SGD, Multi-layer perceptron...
$11.99
Deep Learning with Caffe 2 - Hands On!
by Packt Publishing- 3.5
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
This course teaches you to create, train, and deploy your neural networks and deep learning models using Caffe 2. In the second course, Introduction to Deep Learning with Caffe2, you will learn the foundations of deep learning, understand how to build neural networks and develop an understanding of convolutional networks, RNNs, Adam, Dropout, BatchNorm and more....
$9.99
Machine Learning, incl. Deep Learning, with R
by Bert Gollnick- 4
-
![]()
![]()
![]()
![]()
![]()
15.5 hours on-demand video
Statistical Machine Learning Techniques, and Deep Learning with Keras, and much more. We will cover all fields of Machine Learning: Regression and Classification techniques, Clustering, Association Rules, Reinforcement Learning, and, possibly most importantly, Deep Learning for Regression, Classification, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks, . Deep Learning models with Keras for Regression and Classification tasks...
$11.99
Related searches
Machine Learning Practical Workout | 8 Real-World Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
-
![]()
![]()
![]()
![]()
![]()
14 hours on-demand video
Build 8 Practical Projects and Go from Zero to Hero in Deep/Machine Learning, Artificial Neural Networks Deep Learning is a subset of Machine learning that utilizes multi-layer Artificial Neural Networks. Deep learning is widely used in self-driving cars, face and speech recognition, and healthcare applications. How to use DEEP NEURAL NETWORKS for image classification...
$12.99
Build Neural Networks In Seconds Using Deep Learning Studio
by Michael Kroeker- 4.4
-
![]()
![]()
![]()
![]()
![]()
3 hours on-demand video
In this course you will Machine Learning And Neural Networks easily. You will learn about important machine learning concepts such as datasets, test set splitting, deep neural networks, normailzation, dropout, artificial networks, neural network models, hyperparameters, WITHOUT hard and boring technical explanations or math formulas, or follow along code....
$12.99
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 Learning Rate Decay Clarification about Learning Rate Decay Video Deep Learning Frameworks...
Previous
