Deep Learning by Udacity
Build foundational skills in deep learning by designing and training neural networks to solve complex real-world problems. You’ll begin with the essentials of neural networks, advancing to specialized architectures like Convolutional and Recurrent Neural Networks, along with Generative Adversarial Networks. Through projects, create models for applications such as image classification, sentiment analysis, and face generation, gaining hands-on experience with PyTorch and advanced training techniques. Ideal for those aiming to harness the potential of deep learning, this experience prepares you to tackle AI challenges across various domains.
Skills you will learn!
Curriculum
2 Topics
An Introduction to Your Nanodegree Program
Getting Help
6 Topics
Introduction to Deep Learning
Deep Learning
Minimizing Error Function with Gradient Descent
Intro to Neural Networks
Training Neural Networks
Developing a Handwritten Digits Classifier with PyTorch
7 Topics
Introduction to CNNs
CNN Concepts
CNNs in Depth
Transfer Learning
Autoencoders
Object Detection and Segmentation
Landmark Classification & Tagging for Social Media
4 Topics
Intro to RNN
Introduction to LSTM
Introduction to Transformers
Text Translation and Sentiment Analysis using Transformers
5 Topics
Introduction to Generative Adversarial Networks
Generative Adversarial Networks
Training a Deep Convolutional GANs
Image to Image Translation
Modern GANs
1 Topic
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Deep Learning
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