Deep Learning: Convolutional Neural Networks in Python

Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow

HIGHEST RATED

4.6 (2,012 ratings)

17,820 students enrolled

Created by Lazy Programmer Inc.

Last updated 10/2018

English

English [Auto-generated], Indonesian [Auto-generated], 6 more

Description

This is the 3rd part in my Data Science and Machine Learning series on Deep Learning in Python. At this point, you already know a lot about neural networks and deep learning, including not just the basics like backpropagation, but how to improve it using modern techniques like momentum and adaptive learning rates. You've already written deep neural networks in Theano and TensorFlow, and you know how to run code using the GPU.

This course is all about how to use deep learning for computer vision using convolutional neural networks. These are the state of the art when it comes to image classification and they beat vanilla deep networks at tasks like MNIST.

In this course we are going to up the ante and look at the StreetView House Number (SVHN) dataset - which uses larger color images at various angles - so things are going to get tougher both computationally and in terms of the difficulty of the classification task. But we will show that convolutional neural networks, or CNNs, are capable of handling the challenge!

What you'll learn

Understand convolution
Understand how convolution can be applied to audio effects
Understand how convolution can be applied to image effects
Implement Gaussian blur and edge detection in code
Implement a simple echo effect in code
Understand how convolution helps image classification
Understand and explain the architecture of a convolutional neural network (CNN)
Implement a convolutional neural network in Theano
Implement a convolutional neural network in TensorFlow

Requirements

Install Python, Numpy, Scipy, Matplotlib, Scikit Learn, Theano, and TensorFlow

Learn about backpropagation from Deep Learning in Python part 1

Learn about Theano and TensorFlow implementations of Neural Networks from Deep Learning part 2

Get Deep Learning: Convolutional Neural Networks in Python - Enroll Now

MyCoupons

Deep Learning: Convolutional Neural Networks in Python