Data Science Deep Learning in Python

Data Science Deep Learning in PythonThis course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic building block, and build full-on non-linear neural networks right out of the gate using Python and Numpy. All the materials for this course are FREE.We extend the previous binary classification model to multiple classes using the softmax function, and we derive the very important training method called “backpropagation” using first principles. I show you how to code backpropagation in Numpy, first “the slow way”, and then “the fast way” using Numpy features.Next, we implement a neural network using Google’s new TensorFlow library.You should take this course if you are interested in starting your journey toward becoming a master at deep learning, or if you are interested in machine learning and data science in general. We go beyond basic models like logistic regression and linear regression and I show you something that automatically learns features.Get immediately download Data Science Deep Learning in PythonThis course provides you with many practical examples so that you can really see how deep learning can be used on anything. Throughout the course, we’ll do a course project, which will show you how to predict user actions on a website given user data like whether or not that user is on a mobile device, the number of products they viewed, how long they stayed on your site, whether or not they are a returning visitor, and what time of day they visited.Another project at the end of the course shows you how you can use deep learning for facial expression recognition. Imagine being able to predict someone’s emotions just based on a picture!After getting your feet wet with the fundamentals, I provide a brief overview of some of the newest developments in neural networks – slightly modified architectures and what they are used for.NOTE:If you already know about softmax and backpropagation, and you want to skip over the theory and speed things up using more advanced techniques along with GPU-optimization, check out my follow-up course on this topic, Data Science: Practical Deep Learning Concepts in Theano and TensorFlow.I have other courses that cover more advanced topics, such as Convolutional Neural Networks, Restricted Boltzmann Machines, Autoencoders, and more! But you want to be very comfortable with the material in this course before moving on to more advanced subjects.This course focuses on “how to build and understand”, not just “how to use”. Anyone can learn to use an API in 15 minutes after reading some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” via experimentation. It will teach you how to visualize what’s happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.“If you can’t implement it, you don’t understand it”Or as the great physicist Richard Feynman said: “What I cannot create, I do not understand”.My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratchOther courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?After doing the same thing with 10 datasets, you realize you didn’t learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times…Suggested Prerequisites:calculus (taking derivatives)matrix arithmeticprobabilityPython coding: if/else, loops, lists, dicts, setsGet immediately download Data Science Deep Learning in PythonNumpy coding: matrix and vector operations, loading a CSV fileBe familiar with basic linear models such as linear regression and logistic regressionWHAT ORDER SHOULD I TAKE YOUR COURSES IN?:Check out the lecture “Machine Learning and AI Prerequisite Roadmap” (available in the FAQ of any of my courses, including the free Numpy course)Who this course is for:Students interested in machine learning – you’ll get all the tidbits you need to do well in a neural networks courseProfessionals who want to use neural networks in their machine learning and data science pipeline. Be able to apply more powerful models, and know its drawbacks. Here’s What You’ll Get in Data Science Deep Learning in Python– Download Sample files “Data Science Deep Learning in Python”Course Requirement: Data Science Deep Learning in PythonReal Value: $129.9900One time cost: USD42.0000Frequently Asked Questions For “Data Science Deep Learning in Python”How to make payment for “Data Science Deep Learning in Python” ?Please add to cart on this page and go to checkout page. You can also add as many other products as you like and make a one-time payment.We accept several type of Stripe payments such as Visa, Mastercard, American Express, Discover, Diners Club, Google Pay, Apple Pay and JCB, payments from customers worldwide. Paypal & Bitcoin please contact us.We strongly recommend our customers to make a payment through Stripe & Paypal . Because it is a safest and super security for you as well as for us.Is it safe?100% Secure Checkout Privacy PolicyEncryption of sensitive data and communication.All card numbers are encrypted at rest with AES-256 and transmitting card numbers runs in a separate hosting environment, and doesn’t share or save any info.How can we deliver you the course?After you pay for “Data Science Deep Learning in Python” on our library, please follow the download links in your account page here: |Data Science Deep Learning in Python |In some case, the link is broken for any reason, our supporter will renew the download links and notify to your email within a few hours business day. Your patience is appreciated.How long do I have access to the course? How does lifetime access download?After enrolling, you have unlimited download to this |Data Science Deep Learning in Python|  for as long as you like – across any and all devices you own.How to download “Data Science Deep Learning in Python” ?Enjoy “Data Science Deep Learning in Python” in your account page.Download only one file at a time. Sometimes doing all of the files at once will lead to them all freezing.Also, please do not attempt to download to a mobile device. These should be saved to a computer and then synced to devices such as phones and tablets.You can also learn online instead of downloading, but we encourage you to download for better results and viewing quality during your learn. Lastly, download times are much quicker in the mornings, before noon, Pacific time. during download make sure your device is not sleeping off screen.What is the refund policy “Data Science Deep Learning in Python”?We’ll Bear The Risk, You’ll Take The Results…Within 30 days of purchased |Data Science Deep Learning in Python  |, if you don’t get anything out of the program, or if your order has any problem, or maybe for some reason, you just don’t like the way it is. Please contact us and we will do our best to assist. Thank you for your understanding.Have More Questions?Our support staff is the best by far! please do not hesitate to contact us at email: [email protected] and we’ll be happy to help!You want to get “Data Science Deep Learning in Python” now right?!!!YES! I’M READY TO ADD TO CART BUTTON ON THIS PAGE NOW !