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Category: Tutorial
Deep Learning: Convolutional Neural Networks in Python (Updated 8/2018)
Deep Learning: Convolutional Neural Networks in Python (Updated 8/2018)
$120 | HIGHEST RATED | Last Updated 8/2018
Duration: 6.5 hours | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | 1 GB
Genre: eLearning | Language: English + Sub | 47 Lectures

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Category: Tutorial
Practical Convolutional Neural Networks
Practical Convolutional Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 478 MB
Genre: eLearning | Language: English


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Category: Tutorial
Neural Networks and Convolutional Neural Networks Essential Training
Neural Networks and Convolutional Neural Networks Essential Training
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 19M | 225 MB
Genre: eLearning | Language: English


Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning. In this hands-on course, instructor Jonathan Fernandes covers fundamental neural and convolutional neural network concepts. Jonathan begins by providing an introduction to the components of neural networks, discussing activation functions and backpropagation. He then looks at convolutional neural networks, explaining why they're particularly good at image recognition tasks. He also steps through how to build a neural network model using Keras. Plus, learn about VGG16, the history of the ImageNet challenge, and more.
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Category: Tutorial
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CS231n: Convolutional Neural Networks (Deep Learning)
English | Size: 4.75 GB
Category: tUTORIAL

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This course is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. During the 10-week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. The final assignment will involve training a multi-million parameter convolutional neural network and applying it on the largest image classification dataset (ImageNet). We will focus on teaching how to set up the problem of image recognition, the learning algorithms (e.g. backpropagation), practical engineering tricks for training and fine-tuning the networks and guide the students through hands-on assignments and a final course project. Much of the background and materials of this course will be drawn from the ImageNet Challenge.
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Category: Tutorial
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O'Reilly - Understanding Convolutional Neural Networks (CNNs)
English | Size: 991.69 MB
Category: Tutorial

Convolutional neural networks (CNNs) enable very powerful deep learning based techniques for processing, generating, and sensemaking of visual information. These are revolutionary techniques in computer vision that impact technologies ranging from e-commerce to self-driving cars. This course offers an in-depth examination of CNNs, their fundamental processes, their applications, and their role in visualization and image enhancement. The course covers concepts, processes, and technologies such as CNN layers and architectures. It also explains CNN image classification and segmentation, deep dream and style transfer, super-resolution, and generative adversarial networks (GANs). Learners who come to this course with a basic knowledge of deep learning principles, some computer vision experience, and exposure to engineering math should gain the ability to implement CNNs and use them to create their own visualizations.
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Category: E-Book
Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition) by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
2017 | ISBN: 3319429981 | English | 326 pages | PDF | 14 MB
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Category: Tutorial
Deep Learning: Convolutional Neural Networks in Python

Deep Learning: Convolutional Neural Networks in Python
$120 | Duration: 4 hours | Video: h264, 1280x720 | Audio: AAC, 44100 Hz, 2 Ch | 464 MB
Genre: eLearning | Language: English | Project Files
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Category: Tutorial
Understanding Convolutional Neural Networks (CNNs)
Understanding Convolutional Neural Networks (CNNs)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 48M | 964 MB
Genre: eLearning | Language: English

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