Search result for Neural network models Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 124 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Deep Learning CNN: Convolutional Neural Networks with Python
by AI Sciences- 4.5
-
![]()
![]()
![]()
![]()
![]()
14 hours on-demand video
The course ‘Mastering Convolutional Neural Networks, Theory and Practice in Python, TensorFlow 2. Rich with state-of-the-art and recently discovered CNN models by the champions in this field. What can a Convolutional Neural Network (CNN) do? Convolutional Neural Networks (CNNs) Neural Style Transfer (using TensorFlow-hub) The importance of Convolutional Neural Networks (CNNs) in Data Science....
$14.99
Python & Machine Learning for Financial Analysis
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
-
![]()
![]()
![]()
![]()
![]()
23 hours on-demand video
We will cover application of Deep Neural Networks such as Long Short Term Memory (LSTM) networks to perform stock price predictions. Master SciKit-Learn library to build, train and tune machine learning models using real-world datasets. Understand the underlying theory, intuition and mathematics behind Artificial Neural Networks (ANNs), Recurrent Neural Networks (RNNs) and Long Short Term Memory Networks (LSTM)....
$17.99
Practical Deep Learning with Keras and Python
by Mohammad Nauman- 0.0
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
You will start with a basic model of how machines learn and then move on to higher models such as: Convolutional Neural Networks Residual Connections Inception Module We plan on creating this network of like-minded machine learning experts who can help each other out and collaborate on exciting ideas together....
$12.99
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
It covers the foundational underpinnings, the way insights are gleaned from data, how we can trust these insights are reliable, and how well predictive models perform – which can be established with pretty straightforward arithmetic. DEMO - Training a neural network model (optional) How neural networks work Neural nets: decision boundaries & a comparison to logistic regression...
Generative Deep Learning with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 23 hours to complete
a) Learn neural style transfer using transfer learning: extract the content of an image (eg. Fast Neural Style Transfer Reference: A Neural Algorithm of Artistic Style Reference: Exploring the structure of a real-time, arbitrary neural artistic stylization network Reference: Self-Normalizing Neural Networks...
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 models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers. Mathematics and Statistics behind Neural Networks...
$12.99
Lazy Trading Part 6: Detect Market status with AI
by Vladimir Zhbanko- 4.5
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
Learn to use R and h2o Machine Learning platform to train Supervised Deep Learning Classification Models Manipulate data and learn to build Classification Deep Learning Models Use random neural network structures...
$12.99
Related searches
Regression Machine Learning with Python
by Diego Fernandez- 3.5
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
Estimate multi-layer perceptron methods such as artificial neural network and select optimal node connection weight decay regularization parameter through time series cross-validation. After that, you’ll define generalized linear models such as linear regression and Ridge regression. Estimate multi-layer perceptron methods such as artificial neural network and select optimal node connection weight decay regularization parameter through time series cross-validation....
$12.99
Machine Learning & Deep Learning in Python & R
by Start-Tech Academy- 4.4
-
![]()
![]()
![]()
![]()
![]()
35 hours on-demand video
Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R Section 7 - Classification Models In this section, you will learn how to visualize time series, perform feature engineering, do re-sampling of data, and various other tools to analyze and prepare the data for models...
$14.99
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 53 hours to complete
You will learn how probability distributions can be represented and incorporated into deep learning models in TensorFlow, including Bayesian neural networks, normalising flows and variational autoencoders. This course follows on from the previous two courses in the specialisation, Getting Started with TensorFlow 2 and Customising Your Models with TensorFlow 2. Probabilistic layers and Bayesian neural networks...
Previous
