Deep Learning (from basics) by Shriang Korde — Udemy — Last updated 8/2020 — Free download Deep Learning with Python/ Keras What you’ll learn The students will be able to understand what is Deep Learning. How to create various model and solve the problems hands-on using Keras. As part of various hands-on activities, students will learn how to apply Deep Learning to real world problems Requirements Python language Description Following topics are covered as part of the course Explore building blocks of neural networks Data representation, Tensor, Back propagation Keras Dataset, Applying Keras to cases studies, over fitting / under fitting Artificial Neural Networks (ANN) Activation functions Loss functions Gradient Descent Optimizer Image Processing Convnets (CNN), hands-on with CNN Text and Sequences Text data, Language Processing Recurrent Neural Network (RNN) LSTM Bidirectional RNN Gradients and Back Propagation – Mathematics Who this course is for: Beginner Python developers, Data Science students, Students who have some exposure to Machine Learning DOWNLOAD Filename: Deep_Learning__from_basics_.part1.rar (download) Filesize: 2.00 GB Filename: Deep_Learning__from_basics_.part2.rar (download) Filesize: 1.00 GB Course content: https://www.udemy.com/course/deep-learning-smt/ Скачать с облака. Download from the cloud
