Build Neural Networks
Build your supervised and unsupervised neural networks.
- Generate text to speech with machine learning libraries.
- Learn linear algebra for deep learning
- Image recognition with MNIST with a CNN.
- Build a convolutional neural network for image classification
- Image segmentation with a neural network
- Word2Vec sentiment classification of words
- Image to image translation
- Build recurrent neural networks
- And more
Dive into deep learning and master highly desirable skills.
- Add projects to your resume in no time.
- Learn a hireable skill and powerful technology
- Help businesses find customer trends, leverage data to cut costs, and much more.
Requirements
- No programming or machine learning experience needed - We'll teach you everything you need to know.
- A Mac, PC or Linux computer.
We'll walk you through, step-by-step how to get all the software installed and set up.
Your Instructor
Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start01 What Is A Neural Network (8:02)
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Start02 Prepare Data (8:31)
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Start03 Shuffle And Batch Data (3:26)
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Start04 Build Weights And Biases (6:25)
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Start05 Build A Neural Network From Scratch (5:28)
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Start06 Optimize The Model (10:20)
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Start07 Train And Evaluate The Model (11:36)
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Start08 Test And Visualize The Neural Network (9:57)
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StartSource Files