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E-BooksDeep Comprehension



Deep Comprehension


Language: English | Total pages: 305 | Format: pdf | Size: 3.81 MB |





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E-BooksIn Deep How I Survived Gangs, Heroin, and Prison to Become a Chicago Violence Interrupter



In Deep How I Survived Gangs, Heroin, and Prison to Become a Chicago Violence Interrupter


Language: English | Total pages: N/A | Format: epub | Size: 4.87 MB |





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Building Deep Learning Models Using PyTorch




Building Deep Learning Models Using PyTorch

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Beginner | Released: 12 Oct 2018
Duration: 3h 18m | 979 MB
PyTorch is an open source deep learning framework originally developed by the AI teams at Facebook. PyTorch offers high-level APIs which make it easy to build neural networks and great support for distributed training and prediction.

PyTorch is an open source, deep learning framework which is a popular alternative to TensorFlow and Apache MXNet. PyTorch APIs follow a Python-native approach which, along with dynamic graph execution, make it very intuitive to work with for Python developers and data scientists. In this course, Building Deep Learning Models Using PyTorch, you will learn to work with PyTorch and all the libraries that it has to offer, from first principles - starting with Torch tensors, dynamic computation graphs, and the autograd library, to compute gradients. You'll start off by understanding the basics of training a neural network, the forward and backward passes, and gradient computation. You will use these concepts to build simple neural networks to predict automobile prices, as well as who survived and who did not on the Titanic. Next, you'll move on to image classification using convolutional neural networks; you'll study the role of convolutional and pooling layers and the basic structure of a CNN, you'll then build a CNN to classify images from the Cifar-10 dataset. You'll also see how you can leverage the power of transfer learning by using pre-trained models for image classification. Finally, you'll get to work with recurrent neural networks for sequence data, seeing how the dynamic computation graph execution in PyTorch makes building RNNs very simple. You'll use RNNs with long memory cells to predict gender using baby names. At the end of this course, you will be comfortable using PyTorch libraries and APIs to leverage pre-trained models that PyTorch offers and also to build your own custom model for your specific use case.ScreenshotsBuilding Deep Learning Models Using PyTorchDownload from free file storage
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Video TrainingDeep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs



Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs
Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 11 Hours | Lec: 77 | 4.31 GB
Genre: eLearning | Language: English


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Video TrainingAmazon EC2 Deep Dive



Amazon EC2 Deep Dive
Amazon EC2 Deep Dive
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 367 MB
Genre: eLearning | Language: English


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Video TrainingIntroduction to Deep Learning with Caffe2



Introduction to Deep Learning with Caffe2
Introduction to Deep Learning with Caffe2
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 988 MB
Genre: eLearning | Language: English


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Video TrainingApplied Deep Learning: The Complete Self-Driving Car Course



Applied Deep Learning: The Complete Self-Driving Car Course
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 18 hours | Size: 9.48 GB

Learn to use Deep Learning, Computer Vision and Machine Learning techniques to simulate a Self-Driving Car with Python.

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Video TrainingA Gentle Introduction to Deep Learning Using Keras



A Gentle Introduction to Deep Learning Using Keras
A Gentle Introduction to Deep Learning Using Keras
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 19 | 126 MB
Genre: eLearning | Language: English
A Visual Learners Guide to Building Neural Networks Using Keras
Keras is a powerful easy-to-use Python library for developing and evaluating deep learning models.
In this course, we are going to build an end-to-end Python machine learning project. You'll learn how to use Keras to build and tune a deep neural network.


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Video TrainingDeep Learning Architecture for Building Artificial Neural Networks



Deep Learning Architecture for Building Artificial Neural Networks
Deep Learning Architecture for Building Artificial Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 42M | 385 MB
Genre: eLearning | Language: English
The course starts off with an introduction to Deep Learning and the different tools, hardware, and software before we begin to understand the different training models. We then get to what everyone is talking
72;bout: Neural Networks.


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Deep Blue Sea 2 (2018) 720p Bluray AC3 x264-AdiT



Deep Blue Sea 2 (2018) 720p Bluray AC3 x264-AdiT
Deep Blue Sea 2 (2018) 720p Bluray AC3 x264-AdiT
Language : English
2.96 GB | 1 h 33 min | mkv | 3 869 kb/s | 1280x720 | AC-3, 48.0 kHz, 6 channels, 640 kb/s
Genre: Action | Horror | Sci-Fi | Thriller
iMDB info


A brilliant billionaire named Carl Durant is experimenting on bull sharks, which soon rebel to cause havoc for a group of scientists.


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