Keras library for deep learning with Machine Learning
An expert level Practical Guide to Tuning Deep Learning Models with Keras for Data Scientists and ML in detail
3.57 (28 reviews)
1 284
students
6 hours
content
Jul 2018
last update
$19.99
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What you will learn
You'll be able to build deep learning models using Keras
You'll learn how to evaluate the performance of neural networks built using Keras
You'll understand how to tune Keras layers on different network topologies.
Knowledge of code of several neural networks from the ground up in Python using Keras
To distinguish which practical applications can benefit from deep learning
To train and run models in the cloud using a GPU
To build, train and use fully connected, convolutional and recurrent neural networks
To apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data
To install and use Python and Keras to build deep learning models
To understand and code Convolutional Neural Networks as well as graph-based deep models involving residual connections and inception modules
To build a simple image recognition project using the CIFAR-10 library
To build Handwritten digit recognition with advanced MNIST
To Build Image recognition with CIFAR-100
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1643242
udemy ID
12/04/2018
course created date
19/04/2020
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