Tag: Networks

Introduction to Generative Adversarial Networks

Introduction to Generative Adversarial Networks How to generate  images from noise? Is it really possible? Generative Adversarial Networks were invented in 2014 and since that time it is a breakthrough in the Deep Learning for generation of new objects. And in this free course, you can study GANs framework. This course has rather strong prerequisites:

Tensorflow and Keras For Neural Networks and Deep Learning

Tensorflow and Keras For Neural Networks and Deep Learning THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH TENSORFLOW & KERAS IN PYTHON! It is a full 7-Hour Python Tensorflow & Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning  using

Modern Generative Adversarial Networks

Modern Generative Adversarial Networks How to generate high-quality images from noise? Is it really possible? Generative Adversarial Networks were invented in 2014 and since that time it is a breakthrough in the Deep Learning for generation of new objects. Now, in 2019, there exists around a thousand of different types of Generative Adversarial Networks. And

Computer Networks For Beginners | IT Networking Fundamentals

Computer Networks For Beginners | IT Networking Fundamentals Computer network connects two or more autonomous computers. The computers can be geographically located anywhere. Computer networks have opened up an entire frontier in the world of computing called the client/server model. By choosing this course, you will come to know about the basics of computer networks,

Modern Deep Convolutional Neural Networks with PyTorch

Modern Deep Convolutional Neural Networks with PyTorch Dear friend, welcome to the course “Modern Deep Convolutional Neural Networks”! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you. The course consists of 4 blocks: Introduction section, where I remind you, what is Linear layers,

Deep Learning & Neural Networks Python – Keras : For Dummies

Deep Learning & Neural Networks Python – Keras : For Dummies Hi this is Abhilash Nelson and I am thrilled to introduce you to my new course Deep Learning and Neural Networks using Python: For Dummies The world has been revolving much around the terms “Machine Learning” and “Deep Learning” recently. With or without our

AZ-103 Exam Prep: Configure and Manage Virtual Networks

AZ-103 Exam Prep: Configure and Manage Virtual Networks This AZ-103 Exam Prep course is the first of five in my series of courses that prepare you for the AZ-103 exam. This course covers the “Configure and Manage Virtual Networks” learning objectives for the AZ-103: Microsoft Azure Administrator exam. Throughout this course, we will cover topics through

Image Recognition with Neural Networks From Scratch

Image Recognition with Neural Networks From Scratch This is an introduction to Neural Networks. The course explains the math behind Neural Networks in the context of image recognition. By the end of the course, we will have written a program in Python that recognizes images without using any autograd libraries. The only prerequisite is some

How to Hack WiFi Networks for Beginners

How to Hack WiFi Networks for Beginners This course is all about WiFi and the security of wireless networks. You will study the different threats, weaknesses and attack methods. No special skills are required as the course covers everything from the very basics including the installation of Kali Linux. The following topics will be covered

Computer Networks: A Beginner’s guide to Computer Networking

Computer Networks: A Beginner’s guide to Computer Networking A computer network is a group of computer systems and other computing hardware devices that are linked together through communication channels to facilitate communication and resource-sharing among a wide range of users. Computer networks are made up of wired or wireless communication pathways that transmit data, voice and video traffic using protocols