PyTorch Tutorial – Neural Networks & Deep Learning in Python

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Master the Latest and Hottest of Deep Learning Frameworks (Py Torch) for Python Data Science THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH PYTORCH IN PYTHON! It is a full 5-Hour+ Py Torch Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Python Deep Learning frameworks- Py Torch. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE: This course is your complete guide to practical machine & deep learning using the Py Torch framework in Python.. This means, this course covers the important aspects of Py Torch and if you take this course, you can do away with taking other courses or buying books on Py Torch. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of frameworks such as Py Torch is revolutionizing Deep Learning. By gaining proficiency in Py Torch, you can give your company a competitive edge and boost your career to the next level. THISISMYPROMISETOYOU: COMPLETETHISONECOURSE & BECOMEAPROINPRACTICALPYTORCH BASEDDATASCIENCE! But first things first. My name is Minerva Singhand Iam an Oxford University MPhil (Geography and Environment) graduate. I recently finished a Ph D at Cambridge University (Tropical Ecology and Conservation). I have several yearsofexperience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the Python data science courses and books out theredo not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.. This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Py Torch framework. Unlike other Python courses and books, you will actually learn to use Py Torch on real data! Most of the other resources I encountered showed how to use Py Torch on in-built datasets which have limited use. DISCOVER 7 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTORCH: A full introduction to Python Data Science andpowerful Python driven framework for data science, Anaconda Getting started with Jupyter notebooks for implementing data science techniquesin Python A comprehensive presentation about Py Torch installation and a brief introduction to the other Python data science packages A brief introduction to the working of important data science packages such as Pandas and Numpy The basics of the Py Torch syntax and tensors The basics of working with imagery data in Python The theory behind neural network concepts such as artificial neural networks, deep neural networks and convolutional neural networks (CNN) Youll even discover how to create artificial neural networks and deep learning structures with Py Torch (on real data)BUT, WAIT! THIS ISN’T JUST ANY OTHER DATA SCIENCE COURSE: Youll start by absorbing the most valuable Py Torch basics and techniques. I useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts. My course willhelp you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real -life. After taking this course, youll easily use packages like Numpy, Pandas, and PIL to work with real data in Python along with gaining fluency in Py Torch. I will even introduce you to deep learning models such as Convolution Neural network (CNN)!! The underlying motivation for the course is to ensure you can apply Python-based data science on real data into practice today, start analyzing data for your own projects whatever your skill level, andimpressyour potential employers with actual examples of your data science abilities. It is apractical, hands-on course, i. e. we will spend some time dealing with some of the theoretical concepts related to data science. However, the majority of the course will focus on implementing different techniques on real data and interpret the results. Some of the problems we will solve include identifying credit card fraud and classifying the images of different fruits. After each video, you will learn a new concept or technique which you mayapply to your own projects! JOIN THE COURSE NOW! #deep #learning #neural #networks #python #ai #programming