Jan 06 2023 Complete Keras Bootcamp For Deep Learning In Python BaDshaH LEARNING / e-learning - Tutorials 13:51 0 Last updated 3/2020MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.01 GB | Duration: 4h 9mMaster Practical Neural Networks and Deep Learning With the Keras Framework in Python What you'll learnHarness The Power Of Anaconda/iPython For Practical Data ScienceLearn How To Install & Use Tensorflow Within AnacondaImplement Neural Network Modelling With KerasImplement Deep Learning Based Unsupervised Learning With KerasImplement Deep Learning Based Supervised Learning With KerasImplement Convolution Neural Networks With KerasRequirementsBe Able To Operate & Install Software On A ComputerPrior Exposure To Python based Data Science Will Be BeneficialPrior Exposure To Basic Statistical Concepts & Implementation Will be UsefulHave Prior Exposure To Common Machine Learning Terms such as cross-validationDescriptionTHIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH KERAS IN PYTHON!It is a full 7-Hour Python Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Deep Learning frameworks: Keras. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the Keras framework in Python. This means, this course covers the important aspects of Keras if you take this course, you can do away with taking other courses or buying books on Python Keras based data science. 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 Keras is revolutionizing Deep Learning.By gaining proficiency in Keras you can give your company a competitive edge and boost your career to the next level.THIS IS MY PROMISE TO YOU: COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL KERAS BASED DATA SCIENCE!But first things first. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience 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 there do 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 Tensorflow framework. Unlike other Python courses, we dig deep into the statistical modelling features of Tensorflow & Keras and give you a one-of-a-kind grounding in these frameworks! DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED KERAS DATA SCIENCE:• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda• Getting started with Jupyter notebooks for implementing data science techniques in Python• A comprehensive presentation about Keras installation and a brief introduction to the other Python data science packages• Brief introduction to the working of Pandas and Numpy • The basics of the Keras syntax• Machine Learning, Supervised Learning, Unsupervised Learning in the Keras frameworks• You'll even discover how to create artificial neural networks and deep learning structures with KerasBUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:You'll start by absorbing the most valuable Python Keras basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts. My course will help 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, you'll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Keras. 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, and impress your potential employers with actual examples of your data science abilities.This course will take students without a prior Python and/or statistics background from a basic level to performing some of the most common advanced data science techniques using the powerful Python-based Jupyter notebooksIt is a practical, 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.. After each video, you will learn a new concept or technique which you may apply to your own projects!JOIN THE COURSE NOW!OverviewSection 1: Welcome To The CourseLecture 1 What is the Course About?Lecture 2 Data and Code Used in the CourseLecture 3 Why AI and Deep Learning?Lecture 4 Get Started With the Python Data Science Environment: AnacondaLecture 5 Anaconda for Mac UsersLecture 6 The iPython EnvironmentSection 2: Introduction to Python Data Science PackagesLecture 7 Python Packages for Data ScienceLecture 8 Introduction to NumpyLecture 9 Create Numpy ArraysLecture 10 Numpy OperationsLecture 11 Numpy for Basic Vector ArithmeticLecture 12 Numpy for Basic Matrix ArithmeticLecture 13 Introduction to PandasLecture 14 Read in Data from CSVLecture 15 Read in Data from ExcelLecture 16 Basic Data CleaningSection 3: Introduction to KerasLecture 17 What is Keras?Lecture 18 Keras Installation-WindowsLecture 19 Keras Installation on Mac OSLecture 20 Written Keras Installation InstructionsSection 4: Some Basic ConceptsLecture 21 What is Machine Learning?Section 5: Neural Networks With KerasLecture 22 Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)Lecture 23 Activation FunctionsLecture 24 Multi Layer Perceptron (MLP) With KerasLecture 25 What is Backpropagation?Lecture 26 Keras MLP For Binary ClassificationLecture 27 Accuracy Assessment For Binary ClassificationLecture 28 Keras MLP for Multiclass ClassificationLecture 29 Keras MLP for RegressionSection 6: Unsupervised Learning With KerasLecture 30 What is Unsupervised Learning?Lecture 31 Autoencoders for Unsupervised ClassificationLecture 32 Autoencoders in Keras (Sparsity Constraints)Lecture 33 Autoencoders in Keras (Simple)Lecture 34 Deep Autoencoder With KerasSection 7: Deep Learning For Tensorflow & KerasLecture 35 DNN Classifier With KerasLecture 36 DNN Classifier With Keras-Example 2Section 8: Convolution Neural Network (CNN) For Image AnalysisLecture 37 Introduction to CNNLecture 38 CNN Workflow for KerasLecture 39 CNN With KerasLecture 40 CNN on Image Data with Keras-Part 1Lecture 41 CNN on Image Data with Keras-Part 2Lecture 42 Autoencoders for With CNN- KerasPeople Interested In Learning Python Based Tensorflow and Keras For Data Science Applications,People With Prior Exposure To Python Programming &/Or Data Science Concepts,People Interested In Implementing Neural Networks & Deep Learning Models With KerasHomepagehttps://www.udemy.com/course/complete-keras-bootcamp-for-deep-learning-in-python/Download From Rapidgatorhttps://rapidgator.net/file/eea66a4a360a7bbd6072bfc6df0069b1https://rapidgator.net/file/30a12d9eff6c33bee49a4452429a786eDownload From 1DLhttps://1dl.net/7uor7xzu01yvhttps://1dl.net/d31jghfpkbvyDownload From Ddownloadhttps://ddownload.com/vlvb6mdfl2kvhttps://ddownload.com/qt9cqp8zjqfmTo Support My Work Buy Premium From My Links. Related News Full Stack: Angular and Java Spring Boot E-Commerce WebsitePro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in PythonEfficient Application Development With Python3 For BeginnersData Science With Python (4-Course Bundle)Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras Comments (0)Add comment Submit NEWEST RELEASES 18.05: MediaHuman YouTube To MP3 Converter 3.9.9.92 (0518) Multilingual (x64) Portable 18.05: MediaHuman YouTube Downloader 3.9.9.92 (0518) Multilingual (x64) Portable 18.05: Allavsoft Video Downloader Converter 3.27.0.8904 Multilingual Portable 18.05: FastStone Capture 10.5 Multilingual Portable 18.05: UniFab 2.0.2.1 (x64) Multilingual Portable 18.05: Windows 7 Ultimate SP1 Multilingual Preactivated May 2024 18.05: Windows 7 Professional SP1 Multilingual Preactivated May 2024 18.05: O&O SafeErase Professional / Server 19.2.1034 (x64) 17.05: MetaProducts Portable Offline Browser 8.6.0.4976 Multilingual Portable 17.05: ACDSee Photo Studio Professional 2024 17.1.1.2859 (x64) Portable Recommended Filehosts Freinds Site