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Mastering Deep Learning Fundamentals: An Ultimate Guide for Beginners in Data Science
**GET YOUR COPY NOW, the price will be 22.99$ soon**Learn and Build Deep Learning Models Today !Welcome to the Mastering Deep Learning Fundamentals with Python Book!The book offers you a solid introduction to the world of artificial intelligence. In this program, you'll master fundamentals that will enable you to go further in the field, launch or advance a career, and join the next generation of deep learning talent that will help define a beneficial, new, AI-powered future for our world. You will study cutting-edge topics such as Machine learning, Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and build projects in keras and TensorFlow. You'll learn from our AI Experts.The Book is comprised of 10 chapters and 5 Python projects. Each project you build will be an opportunity to prove your skills and demonstrate what you've learned in your lessons. Building a project is one of the best ways both to test the skills you've acquired and to demonstrate your newfound abilities to future employers.
Educational Objectives: Become an expert in neural networks, and learn to implement them from scratch and using frameworks like Keras and TensorFlow.
Prerequisite Knowledge: Make sure to set aside adequate time on your calendar for focused Learn. In order to succeed in this book. The first chapters of the book will give you all the basic knowledge of probability, statistic, calculus (multivariable derivatives) and linear algebra (matrix multiplication needed for mastering Deep Learning. Please, take time to learn them.
Contact Info: While going through the program, if you have questions about anything, you can reach us at contact@aispublishing.net.
**GET YOUR COPY NOW, the price will be 22.99$ soon**What's Inside This Book?Part I: Fundamentals of Deep learning
Fundamentals of Probability
Fundamentals of Statistics
Fundamentals of Linear Algebra
Introduction to Machine Learning and Deep Learning
Fundamentals of Machine Learning
Fundamentals of Neural Networks and Deep Learning
Deep Learning Parameters and Hyper-parameters
Deep Neural Networks Layers
Deep Learning Activation Functions
Deep Learning Loss Functions
Deep Learning Optimization Algorithms
Convolutional Neural Network
Recurrent Neural Networks
LSTM
Recursive Neural Networks
Bonus Course
Conclusion
Part II: Deep Learning in Practice (In Jupyter notebooks)
Project 0: Introduction to Python for AI
Project 1: Introduction to Keras and OpenCV
Project 2: Simple Linear Regression in Python
Project 3: Multivariate Regression in Python
Project 4: Binary Classification for image recognition using CNN
Project 5: Multiclass Classification for image recognition using CNN
Project 6: Text Classification using RNN
** MONEY BACK GUARANTEE BY AMAZON **If you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform or contact us by sending an email at contact@aispublishing.net.**GET YOUR COPY NOW, the price will be 22.99$ soon**
Educational Objectives: Become an expert in neural networks, and learn to implement them from scratch and using frameworks like Keras and TensorFlow.
Prerequisite Knowledge: Make sure to set aside adequate time on your calendar for focused Learn. In order to succeed in this book. The first chapters of the book will give you all the basic knowledge of probability, statistic, calculus (multivariable derivatives) and linear algebra (matrix multiplication needed for mastering Deep Learning. Please, take time to learn them.
Contact Info: While going through the program, if you have questions about anything, you can reach us at contact@aispublishing.net.
**GET YOUR COPY NOW, the price will be 22.99$ soon**What's Inside This Book?Part I: Fundamentals of Deep learning
Fundamentals of Probability
Fundamentals of Statistics
Fundamentals of Linear Algebra
Introduction to Machine Learning and Deep Learning
Fundamentals of Machine Learning
Fundamentals of Neural Networks and Deep Learning
Deep Learning Parameters and Hyper-parameters
Deep Neural Networks Layers
Deep Learning Activation Functions
Deep Learning Loss Functions
Deep Learning Optimization Algorithms
Convolutional Neural Network
Recurrent Neural Networks
LSTM
Recursive Neural Networks
Bonus Course
Conclusion
Part II: Deep Learning in Practice (In Jupyter notebooks)
Project 0: Introduction to Python for AI
Project 1: Introduction to Keras and OpenCV
Project 2: Simple Linear Regression in Python
Project 3: Multivariate Regression in Python
Project 4: Binary Classification for image recognition using CNN
Project 5: Multiclass Classification for image recognition using CNN
Project 6: Text Classification using RNN
** MONEY BACK GUARANTEE BY AMAZON **If you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform or contact us by sending an email at contact@aispublishing.net.**GET YOUR COPY NOW, the price will be 22.99$ soon**
162 pages, Paperback
Published June 9, 2019
37 people are currently reading
11 people want to read
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Displaying 1 of 1 review
August 29, 2020
Muy superficial
Demasiado, básico para lo ambicioso del título, no aportó ningún contenido que no se lea en internet. Mala inversión de dinero
Demasiado, básico para lo ambicioso del título, no aportó ningún contenido que no se lea en internet. Mala inversión de dinero
Displaying 1 of 1 review