Course Info & Coupon Details
This course will teach you to Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow. I recommend taking a course, “Deep Learning: Convolutional Neural Networks in Python” by Lazy Programmer Inc.
Course name: Deep Learning: Convolutional Neural Networks in Python
Course instructor: Lazy Programmer Inc. (Data scientist and big data engineer)
Description Course: Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow
Online course: 33 lectures, Expert Level
Video length: 4 hours
Categories: Data & Analytics
Students & Ratings: As of November 09, 2017, more than 8,962 students enrolled and have over 664 ratings.
Course type Includes: Lifetime access to all videos, including all future updates.
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: You will receive a Course Completion Certification from Udemy platform.
Brief Course Curriculum and Learning Objectives
The online course “Deep Learning: Convolutional Neural Networks in Python” has been developed by Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. Also, the creator of the Bestselling in Natural Language Processing, A/B Testing, Artificial Intelligence Courses on Udemy with over 87,000 students. After successfully completing this course, students will be able to:
The student will understand how convolution can be applied to image effects.
The student will understand how convolution can be applied to audio effects.
The student will understand convolution.
The student will implement a simple echo effect in code.
The student will implement Gaussian blur and edge detection in code.
The student will implement a convolutional neural network in Theano.
The student will understand how convolution helps image classification.
The student will understand and explain the architecture of a convolutional neural network (CNN).
The student will implement a convolutional neural network in TensorFlow.
Conclusion and Recommendation
If you want to apply deep learning to images. If you want to level up with deep learning. If you want to expand their knowledge of deep learning past vanilla deep networks. If you are data scientists who work on computer vision tasks. If you are students or professional computer scientists. If you are software engineers, then this is the right course for you! Enrolling in Course Now!
Limited Time! Hurry before discount ends 😀
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