Listen and read

Step into an infinite world of stories

  • Listen and read as much as you want
  • Over 400 000+ titles
  • Bestsellers in 10+ Indian languages
  • Exclusive titles + Storytel Originals
  • Easy to cancel anytime
Subscribe now
Details page - Device banner - 894x1036

Deep Learning with Python for Beginners: Comprehensive Guide to Mastering Neural Networks

Duration
3H 10min
Language
English
Format
Category

Non-Fiction

"Deep Learning with Python for Beginners" is your gateway to the revolutionary world of artificial intelligence. Written specifically for novices, this book guides you through the foundational concepts of machine learning and deep learning, using Python—the most popular programming language in the field.

From setting up your Python environment to mastering data manipulation with libraries like NumPy and Pandas, you'll gain the essential skills needed to tackle the exciting challenges of AI. Dive into TensorFlow and Keras, the powerhouse frameworks that simplify building complex neural networks. You'll learn by doing, creating your first neural network, and progressively exploring more sophisticated models such as convolutional and recurrent neural networks.

Each chapter is packed with clear explanations, practical examples, and hands-on projects to build your confidence and expertise. Whether you're analyzing images, unraveling linguistic nuances in texts, or predicting future trends, this book provides the tools and techniques to illuminate the path forward.

By the end of "Deep Learning with Python for Beginners," you'll not only understand the science behind deep learning but also be equipped to join the next wave of AI innovators and contributors. Start your journey into the fascinating world of AI with this essential guide!

© 2024 Brandon Scott (Audiobook): 9798882315190

Release date

Audiobook: 3 May 2024

Others also enjoyed ...

  1. Python: - The Bible- 3 Manuscripts in 1 book: Python Programming for Beginners - Python Programming for Intermediates - Python Programming for Advanced Maurice J. Thompson
  2. Artificial Intelligence with Python for Beginners: Comprehensive Guide to Building AI Applications James Ferry
  3. Python Machine Learning for Beginners: All You Need to Know about Machine Learning with Python Alex Campbell
  4. Python for Beginners: 2 Books in 1: Coding for Beginners Using Python + Python Crash Course Mark Matthes, Eric Lutz
  5. Python for Beginners: A Crash Course Guide to Learn Python in 1 Week Timothy C. Needham
  6. Coders: Who They Are, What They Think and How They Are Changing Our World Clive Thompson
  7. Python Coding: The Quickest Way To Learn Coding With Python Damian Bourne
  8. Python Programming Language. Introduction for Beginners: Your Path to Coding Mastery James Ferry
  9. Python Machine Learning: Complete and Clear Introduction to the Basics of Machine Learning with Python. Comprehensive Guide to Data Science and Analytics. Alex Campbell
  10. Python for Data Science: Clear and Complete Guide to Data Science and Analysis with Python. Alex Campbell
  11. Python Unleashed: Mastering the Art of Efficient Coding James Livingston
  12. Python Essentials For Dummies Alan Simpson
  13. Python: 3 books in 1 : Python Basics for Beginners + Python Automation Techniqus and Web Scraping + Python for Data Science and Machine Learning Andy Vickler
  14. How Smart Machines Think Sean Gerrish
  15. Machine Learning with Python: A Comprehensive Beginners Guide to Learn the Realms of Machine Learning with Python Alexander Cane
  16. Computational Thinking Peter J. Denning
  17. Ultimate Python for Fintech Solutions Bhagvan Kommadi
  18. Machine Learning with Python for Beginners: A Beginner’s Journey into Data Science and AI Brandon Scott
  19. Python for Big Data: Clear Guide to Understanding and Implementing Data Structures in Real-World Applications Ben Rizer
  20. The Python Programming Revolution: Scripting Success: Practical Approaches to Python Programming David Lee
  21. 97 Principles for Software Architects: Axioms for software architecture and development written by industry practitioners Multiple Authors
  22. Fundamentals of Software Architecture: An Engineering Approach Neal Ford
  23. Python for Data Analysis: Unlocking the Potential of Data Through Python Brian Paul
  24. Machine Learning with Python for Beginners: An Advanced Guide to Unleashing the Power of AI Saimon Carrie
  25. Graph Data Science with Python and Neo4j Timothy Eastridge
  26. Grokking Algorithms: A Complete Beginner’s Guide for the Effective Learning of Algorithms Dylan Christian
  27. AI for beginners: Begin your AI developer journey in 2024 Et Tu Code
  28. AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence Laurence Moroney
  29. Data Science John D. Kelleher
  30. Machine Learning, Deep Learning & Generative AI: Understanding the Complete Modern AI in 2024: ML, DL & Gen AI Et Tu Code
  31. Machine Learning with Python for Beginners: A Beginner’s Guide to Understanding and Implementing Machine Learning Using Python Saimon Carrie
  32. Neural Networks For Beginners: How to Build Intelligent Systems from Scratch Rayan Murray
  33. Data Science and Analytics Essentials: The Revolution of Decision-Making: Leveraging Data in the Digital Age Daniel Richards
  34. 12 Essential Scientific Concepts The Great Courses
  35. Data Science For Dummies: 2nd Edition Lillian Pierson
  36. A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications Juniper Blake
  37. Programming: Learn Assembly Language, Coding, and Programming Languages (2 in 1) Jonathan Rigdon
  38. Deep Learning John D. Kelleher
  39. The Deep Learning Revolution Terrence J. Sejnowski
  40. The Creativity Code: How AI is learning to write, paint and think Marcus du Sautoy
  41. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses Michele Chambers
  42. Learning from Data Introbooks Team
  43. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost
  44. Computer Science 2.0 Beginners Crash Course - Python, Javascript, Cyber Security And Algorithms: AI,programming,advance technology,matrix ,data analysis Ian Bat
  45. Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
  46. Cybersecurity For Dummies Joseph Steinberg