Search result for Stanford convolutional neural network course Online Courses & Certifications
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Deep Learning with Caffe 2 - Hands On!
by Packt Publishing- 3.5
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4 hours on-demand video
You will also learn how train and manipulate deep neural networks effectively. You will also learn how to create Convolutional Neural Networks (CNNs) that can identify not only handwriting but also fashion items from an image. You will work on various projects throughout this MOOC with a focus on how to train and manipulate a deep neural network effectively....
$9.99
Complete Tensorflow 2 and Keras Deep Learning Bootcamp
by Jose Portilla- 4.7
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19 hours on-demand video
This course will guide you through how to use Google's latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow 2 framework in a way that is easy to understand. Neural Network Basics...
$17.99
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
by Laurence Moroney- 4.7
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Approx. 30 hours to complete
and this course Coding a Computer Vision Neural Network Enhancing Vision with Convolutional Neural Networks Implementing convolutional layers Designing the neural network Training the neural network Build a basic neural network in TensorFlow Train a neural network for a computer vision application Understand how to use convolutions to improve your neural network...
Deep Learning with PyTorch
by Packt Publishing- 3.9
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4.5 hours on-demand video
In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process sequential data such as texts. You will also be training a neural network to learn how to balance a pole all by itself, using Reinforcement Learning....
$11.99
Introduction to Computer Vision and Image Processing
by Aije Egwaikhide , Joseph Santarcangelo- 4.5
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Approx. 21 hours to complete
This is a hands-on course and involves several labs and exercises. This course does not require any prior Machine Learning or Computer Vision experience. Course Overview Neural Networks and Deep Learning for Image Classification Neural Networks Fully Connected Neural Network Architecture Convolutional Networks Graded Quiz: Neural Networks...
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
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Approx. 18 hours to complete
Course Overview Course Overview Using SAS® Viya® for Learners with This Course (Required) Course Information (Required) Neural Network Models Traditional Neural Networks Deep Neural Networks (DNN) versus Recurrent Neural Networks (RNN) Recurrent Neural Network Architecture Forecasting with Recurrent Neural Networks Convolutional Neural Networks for Image Classification...
Natural Language Processing with Probabilistic Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.7
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Approx. 28 hours to complete
In Course 2 of the Natural Language Processing Specialization, offered by deeplearning. d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Intro to Course 2 Word embeddings with neural networks...
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Deep Learning with Python - Novice to Pro!
by Packt Publishing- 3.8
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8.5 hours on-demand video
Practical recipes on Neural Network modeling, Reinforcement & Transfer Learning using Python's Deep Learning tools Next, you will create a neural network which will be able to identify smiles in your camera app. The course includes solutions that are related to the basic concepts of neural networks; all techniques, as well as classical network topologies, are covered....
$9.99
Generative Deep Learning with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
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Approx. 23 hours to complete
a) Learn neural style transfer using transfer learning: extract the content of an image (eg. Welcome to Course 4 Fast Neural Style Transfer Reference: A Neural Algorithm of Artistic Style Reference: Visualizing and Understanding Convolutional Networks Reference: Exploring the structure of a real-time, arbitrary neural artistic stylization network Convolutional AutoEncoder Convolutional Variational AutoEncoders...
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Neural network architectures Getting Started with Convolutional Neural Networks and TensorFlow (Hands-on)...
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