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Advanced Deep Learning with Keras

Video Introducing this tutorial

The Course Overview
What is Deep Learning?
Machine Learning Concepts
Foundations of Neural Networks
Optimization
Configuration of Keras
Presentation of Keras and Its API
Design and Train Deep Neural Networks
Regularization in Deep Learning
Introduction to Computer Vision
Convolutional Networks
CNN Architectures
Image Classification Example
Image Segmentation Example
Introduction to Recurrent Networks
Recurrent Neural Networks
“One to Many” Architecture
“Many to One” Architecture
“Many to Many” Architecture
Embedding Layers
What are Recommender Systems?
Content/Item Based Filtering
Collaborative Filtering
Hybrid System
Introduction to Neural Style Transfer
Single Style Transfer
Advanced Techniques
Style Transfer Explained
Data Augmentation
Transfer Learning
Hyper Parameter Search
Natural Language Processing
An Introduction to Generative Adversarial Networks (GAN)
Run Our First GAN
Deep Convolutional Generative Adversarial Networks (DCGAN)
Techniques to Improve GANs