Transforming Sketches into Photos - The Deep Learning Masterclass
Learn deployment of Machine Learning and Deep Learning applications with Python
The course starts with foundational concepts, including an introduction to machine learning, deep learning, neural networks, and the types of learning models. You’ll gain a solid understanding of how machine learning agents learn and how models are built and deployed on the web. Students will then delve into data preparation, learning how to load, label, and preprocess datasets, as well as visualize and batch data for effective model training.
Next, the focus shifts to the architecture of neural networks, exploring essential components such as dense layers, batch normalization, and advanced activation functions like Leaky ReLU and TanH. You’ll learn to build complex network types, including convolutional neural networks (CNNs) for image processing and generative neural networks for creating new data. Practical modules guide you through designing and implementing a generator, discriminator, and optimizing their performance with tools like the Adam Optimizer.
With a strong foundation in data preparation and network design, students progress to training, testing, and fine-tuning models. You’ll implement custom training loops, visualize results, and evaluate model performance through loss calculations and optimization techniques. The course also features an exciting style transfer project, teaching you to use machine learning to blend artistic styles into images by extracting image features and optimizing representations.
Through practical exercises and real-world projects, students will gain hands-on experience with popular deep learning frameworks like TensorFlow or PyTorch. By the end of this masterclass, you’ll have the expertise to preprocess data, design and train sophisticated neural networks, and create transformative projects, whether you’re aspiring to innovate in AI, enhance your artistic process, or simply explore the cutting-edge of deep learning.
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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StartIntro To Course And Python (9:57)
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StartVariables (19:19)
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StartType Conversion Examples (10:06)
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StartOperators (28:54)
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StartCollections (8:24)
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StartList Examples (19:41)
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StartTuples Examples (8:36)
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StartDictionaries Examples (14:26)
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StartRanges Examples (8:32)
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StartConditionals (6:43)
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StartIf Statement Examples (21:32)
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StartLoops (29:42)
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StartFunctions (17:01)
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StartParameters And Return Values Examples (13:54)
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StartClasses And Objects (34:11)
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StartInheritance Examples (17:29)
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StartStatic Members Examples (11:05)
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StartSummary And Outro (4:08)