DEEP LEARNING WITH PYTHON

DEEP LEARNING WITH PYTHON
ePUB
  • eBook:
    DEEP LEARNING WITH PYTHON: Simple and Effective Tips and Tricks to Learn Deep Learning with Python
  • Author:
    Benjamin Smith
  • Edition:
    2 edition
  • Categories:
  • Data:
    August 23, 2020
  • ISBN:
    B08GL5CMDW
  • ISBN-13:
    -
  • Language:
    English
  • Pages:
    114 pages
  • Format:
    ePUB

Book Description
Are you looking to take your machine learning knowledge further?
Want to understand what deep learning is all about?
Then you've picked the right book.
With "Deep learning with Python: Simple and Effective Tips and Tricks to Learn Deep Learning with Python," you will learn the basics of deep learning, what it is and what it is used for. In particular, we focus on using the Python programming language over any other, given that it is the most popular programming language for data sciences.
You will learn:
• What deep learning is and how it works
• Different deep learning methods
• What its limitations and challenges are
• Why we prefer to use Python
• The best Python libraries for deep learning
• Overviews of classification, regression, and clustering tasks
• Algorithms and activation functions
• What neural nets are
• Recurrent neural networks and LSTMs
• Convolutional neural networks and image processing
• An introduction to deep reinforcement learning
• And much more!
You'll also get the chance to build a deep learning model using TensorFlow and Keras.
Are you excited to get started?

Content

Chapter One: Introducing Deep Learning
Chapter Two: Python and Deep Learning
Chapter Three: A Look At Neural Networks
Chapter Four: A Deeper Look at Recurrent Neural Networks and LSTMs
Chapter Five: Introduction To CNNs and Image Processing
Chapter Six: An Introduction to Deep Reinforcement Learning
Chapter Seven: Let’s Build a Deep Learning Model with Keras and TensorFlow
Chapter Eight: Building a Neural Network With TensorFlow For Handwritten Digit Recognition
Chapter Nine: How to Keep Your Deep Learning Models Bug-Free

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