PacktPub – Master Deep Learning with TensorFlow 2.0 in Python [2019]

PacktPub – Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
English | Size: 2.3 GB
Category: Programming | Cloud-Comp | E-learning

Build deep learning algorithms with TensorFlow 2.0, dive into neural networks, and apply your skills in a business case. [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
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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 – Data Science Deep Learning in Python

Udemy – Data Science: Deep Learning in Python
English | Size: 722.02 MB
Category: Tutorial

This course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic building block, and build full-on non-linear neural networks right out of the gate using Python and Numpy. All the materials for this course are FREE. [Read more…]

Udemy Mastering Cubase 9 Deep House Production

Udemy Mastering Cubase 9 Deep House Production
English | Size: 1.31 GB
Category: Tutorial

The Mastering Cubase 9 Series are dedicated to one of the most popular and powerful DAWs available today.

Join me to learn EVERYTHING you need to get up and running fast on Deep House Music with these in-depth Cubase 9 video tutorials.
[Read more…]

Linkedin – Learning Deep Learning with PyTorch Essential Training

Linkedin – Learning Deep Learning with PyTorch Essential Training-ZH
English | Size: 128.95 MB
Category: Network

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It’s gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem-from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network. [Read more…]

Packt – Mastering Deep Learning using Apache Spark

Mastering Deep Learning using Apache Spark [Video]
English | Size: 579.74 MB
Category: CBTs

Deep learning has solved tons of interesting real-world problems in recent years. Apache Spark has emerged as the most important and promising machine learning tool and currently a stronger challenger of the Hadoop ecosystem.
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Packt – – Master Deep Learning with TensorFlow 2.0 in Python

Packt – – Master Deep Learning with TensorFlow 2.0 in Python
English | Size: 2.30 GB
Category: Python


Build deep learning algorithms with TensorFlow 2.0, dive into neural networks, and apply your skills in a business case.
Key Features
Build deep learning algorithms from scratch in Python using NumPy and TensorFlow
Set yourself apart from the competition with hands-on deep- and machine-learning experience
Grasp the math behind deep learning algorithms [Read more…]

Packt – Deep Learning With Java

Packt – Deep Learning With Java-JGTiSO
English | Size: 405.51 MB
Category: Tutorial


Learn
Extract features from unstructured data using ND4J
Use DL4J to perform fast and efficient deep learning training
Perform automatic speech recognition with DL
Use RNN with DL to achieve more precise results based on previous history
Process image data using multiple layers with DL4J
Use Word2Vect to perform feature extraction on text data
Predict using classification with a multilayered approach
About
Deep learning (DL) is used across a broad range of industries as the fundamental driver of AI. Being able to apply deep learning with Java will be a vital and valuable skill, not only within the tech world but also the wider global economy, which depends upon solving problems with higher accuracy and much more predictability than other AI techniques could provide. [Read more…]

Packt – Implementing Deep Learning Algorithms with TensorFlow 2.0

Packt – Implementing Deep Learning Algorithms with TensorFlow 2 0
English | Size: 785.19 MB
Category: E-learning


Learn
Understand what Deep Learning and TensorFlow 2.0 are and what problems they have solved and can solve
Study the various Deep Learning model architectures and work with them
Apply neural network models, deep learning, NLP, and LSTM to several diverse data classification scenarios, including breast cancer classification; predicting stock market data for Google; classifying Reuters news topics, and classifying flower species
Apply your newly-acquired skills to a wide array of practical and real-world scenarios [Read more…]