Cloud Academy – Getting Started With Deep Learning Recurrent Neural Networks

Cloud Academy – Getting Started With Deep Learning Recurrent Neural Networks-STM
English | Size: 638.38 MB
Category: Tutorial

From the internals of a neural net to solving problems with neural networks to understanding how they work internally, this course expertly covers the essentials needed to succeed in machine learning. [Read more…]

Cloud Academy – Getting Started With Deep Learning Convolutional Neural Networks

Cloud Academy – Getting Started With Deep Learning Convolutional Neural Networks-STM
English | Size: 1.17 GB
Category: Tutorial

In this course, discover convolutions and the convolutional neural networks involved in Data and Machine Learning Introducing the concept of tensor, which is essential for everything that follows Learn to apply the right kind of data such as images Images store their information in pixels, but you will discover that it is not the value of each pixel that matters [Read more…]

PluralSight – Build, Train, and Deploy Your First Neural Network with TensorFlow

PluralSight – Build, Train, and Deploy Your First Neural Network with TensorFlow-JGTiSO
English | Size: 363.07 MB
Category: Tutorial

In this course, you will learn the basic principles of machine learning and neural networks so you can quickly create, train, and deploy a neural network with TensorFlow. [Read more…]

Cloud Academy – Building Convolutional Neural Networks on Google Cloud

Cloud Academy – Building Convolutional Neural Networks on Google Cloud-STM
English | Size: 682.35 MB
Category: Tutorial

Once you know how to build and train neural networks using TensorFlow and Google Cloud Machine Learning Engine, what s next? Before long, you ll discover that prebuilt estimators and default configurations will only get you so far. To optimize your models, you may need to create your own estimators, try different techniques to reduce overfitting and use custom clusters to train your models [Read more…]

Packt – PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications

Packt – PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications-XQZT
English | Size: 5.31 GB
Category: Tutorial

Hands-on PyTorch boot camp for Artificial Intelligence applications with artificial neural networks and deep learning
[Read more…]

Packt – PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications

Packt – PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications
English | Size: 5.31 GB
Category: Tutorial

Key Features
A full introduction to Python Data Science and Anaconda, a powerful Python-driven data science framework
A thorough grounding in how to use PyTorch to implement common deep learning algorithms such as Convolutional Neural Networks (CNNs) on real-life data
Limited mathematical jargon. The course focuses on teaching people basic Python data science concepts and builds up to using PyTorch [Read more…]

Udemy – Deep Learning – Recurrent Neural Networks in Python

Udemy – Deep Learning- Recurrent Neural Networks in Python
English | Size: 1.39 GB
Category: Programming | Networking

Deep Learning: Recurrent Neural Networks in Python
What you’ll learn
Understand the simple recurrent unit (Elman unit)
Understand the GRU (gated recurrent unit)
Understand the LSTM (long short-term memory unit)
Write various recurrent networks in Theano [Read more…]

Pluralsight – Building Neural Networks with scikit-learn

Pluralsight – Building Neural Networks with scikit-learn-XQZT
English | Size: 296.29 MB
Category: Tutorial


This course covers all the important aspects of support currently available in scikit-learn for the construction and training of neural networks, including the perceptron, MLPClassifier, and MLPRegressor, as well as Restricted Boltzmann Machines. [Read more…]

Lynda – Artificial Intelligence Foundations Neural Networks

Lynda – Artificial Intelligence Foundations Neural Networks
English | Size: 458.61 MB
Category: E-learning


An artificial neural network uses the human brain as inspiration for creating a complex machine learning system. There are now neural networks that can classify millions of sounds, videos, and images. These machines can answer our questions, understand our behaviors, and even drive our cars. The network looks for subtle patterns in our data and then fine-tunes itself to improve over time. They can become experts in predicting our behavior, learning our languages, and finding new discoveries. In this course, instructor Doug Rose provides an overview of artificial neural networks, explaining what they are and how you can use them for your machine learning challenges. Discover ways that you can use this technology to do fascinating new things for your projects or your business. [Read more…]

Packt – Deep Learning and Neural Networks Using Python Keras the Complete Beginners Guide

Packt – Deep Learning and Neural Networks Using Python Keras the Complete Beginners Guide-JGTiSO
English | Size: 4.27 GB
Category: Tutorial


Deep learning and data science using a Python and Keras library – The complete guide from beginner to professional
The world has been obsessed with the terms “machine learning” and “deep learning” recently. We use these technologies every day, with or without our knowledge. Ranging from Google suggestions, to translations, ads, movie recommendations, friend suggestions, sales and customer experiences. There are tons of other applications too so there’s no wonder that deep learning and machine learning specialists, along with data science practitioners, are the most sought-after talent in the current technology world. But the problem is that, when you think about learning these technologies, there is a common misconception that it’s a prerequisite to study lots of maths, statistics, and complex algorithms. It’s almost like someone making you believe that you must learn the working of an internal combustion engine before you learn how to drive a car. The fact is that, to drive a car, we just only need to know how to use the user-friendly control pedals extending from the engine like the clutch, brake, accelerator, steering wheel, and so on. And with a bit of experience, you can easily drive a car. The basic know-how about the internal working of the engine is of course an added advantage while driving a car, but it’s not mandatory. [Read more…]