CDS Video Series | Sec05. NEURAL NETWORKS AND DEEP LEARNING

01 · What you'll be able to do

Three things you can ship afterwards.

Deep Learning models are dominating nowadays in a variety of application domains and have outperformed the classical machine learning models in many ways. It is always a curiosity across the developers and learners on how to build efficient deep learning models for interesting applications. In this workshop, developing deep learning models from scratch will be discussed through which the participants will learn how to start, develop and apply these models in real-life applications. These implementations will be done with Keras using the TensorFlow backend. Outline Introduction to Deep Learning Deep Learning and Artificial Neural Networks Deep Neural Network for Classification Convolutional Neural Networks Convolutional Neural Network for Image Classification Recurrent Neural Network and LSTM Model Sequence Modeling Autoencoders and Image Reconstruction Generative Adversarial Network (GAN) for Fake Image Generation Neural Style Transfer Real-Time Object Detection in Images and Videos Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.