Search result for Deep learning neural networks Online Courses & Certifications
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An Introduction to Practical Deep Learning
by Andres Rodriguez , Nikhil Murthy , Hanlin Tang- 4.3
Approx. 17 hours to complete
You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics. Introduction to Deep Learning and Deep Learning Basics Convolutional Neural Networks (CNN), Fine-Tuning and Detection Convolutional Neural Networks Exercise 3: Convolutional Neural Networks...
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
Approx. 8 hours to complete
• describe what a neural network is, what a deep learning model is, and the difference between them. • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. Introduction to Neural Networks and Deep Learning Introduction to Neural Networks and Deep Learning Shallow Versus Deep Neural Networks...
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. Supervised Learning with Neural Networks Introduction to Deep Learning Neural Networks Basics Deep Learning Honor Code Deep Neural Networks Building Blocks of Deep Neural Networks Key Concepts on Deep Neural Networks...
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
Approx. 13 hours to complete
Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. Introduction to Deep Learning Deep Neural Networks Deep Neural Networks and TensorFlow Introduction to Convolutional Neural Networks (CNNs) Convolutional Neural Networks (CNNs) for Classification...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
Approx. 22 hours to complete
If you’d like to prepare additionally, you can take Course 1: Neural Networks and Deep Learning of the Deep Learning Specialization. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Neural Networks for Sentiment Analysis Neural Networks for Sentiment Analysis Trax: Neural Networks...
Intro to Deep Learning with PyTorch
by Luis Serrano , Alexis Cook , Soumith Chintala , Cezanne Camacho , Mat Leonard- 0.0
Approx. 2 months
Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. In this course, you’ll gain practical experience building and training deep neural networks using PyTorch. Learn the basics of deep learning and implement your own deep neural networks with PyTorch...
Free
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Deep Learning
by Mat Leonard , Luis Serrano , Cezanne Camacho , Alexis Cook , Jennifer Staab , Sean Carrell , Ortal Arel , Jay Alammar- 0.0
4 months
Enroll now to build and apply your own deep neural networks to produce amazing solutions to important challenges. Become an expert in neural networks, and learn to implement them using the deep learning framework PyTorch. As such, it doesn't prepare you for a specific job, but expands your skills in the deep learning domain....
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Deep Learning Early History of Neural Networks Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
Machine Learning and Deep Learning using Tensor Flow & Keras
by Indra Programmer- 2
11 hours on-demand video
This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning and also the basics of Machine learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand and its application ....
$12.99