Deep Learning from Scratch: Building with Python from First Principles

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ASIN ‏ : ‎ 1492041416
Publisher ‏ : ‎ O’Reilly Media; 1st edition (October 15, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 250 pages
ISBN-10 ‏ : ‎ 935213902X
ISBN-13 ‏ : ‎ 978-9352139026
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 7 x 0.5 x 9 inches

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Deep Learning from Scratch: Building with Python from First Principles

In the world of artificial intelligence and machine learning, deep learning has emerged as a powerful tool for solving complex problems. While there are many pre-built libraries and frameworks available for implementing deep learning models, truly understanding how they work and being able to build them from scratch can provide a deeper insight into the inner workings of these powerful algorithms.

In this post, we will explore how to build a deep learning model from first principles using Python. By taking a hands-on approach and starting from the basics, we can gain a better understanding of the underlying concepts and techniques that drive deep learning.

We will cover topics such as building a neural network from scratch, implementing backpropagation for training our model, and optimizing our network using techniques like gradient descent. Throughout the process, we will use Python as our programming language of choice, leveraging its simplicity and flexibility for building and experimenting with our deep learning model.

By the end of this post, you will have a solid foundation in deep learning principles and be equipped with the knowledge and skills to build your own deep learning models from scratch. So, let’s dive in and start our journey into the fascinating world of deep learning.
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