My Review on Deep learning Book "The Deep Learning with Keras Workshop"

Deep learning is the new age, changing the world with astonishing use cases like recognizing facial expressions, classifying crops, generating painting, generating text(lyrics), etc. In the years to come we will develop the things that will be brought with the intelligence and made our lives easy and enjoyable. All the thanks to the advancement of deep learning research and the scientists, who continue to work in this field and develop the easy-to-use framework, where more people can join this impending innovation and develop new things that improve people's lives. There are many open source deep learning frameworks available in the market such as TensorFlow, keras, pytorch, mxnet, fastai, chainer, etc. But Keras is the most widely adapted deep learning framework by data scientists and engineers in the AI industry because it is easy to write and read code accessibility.

Today I contented to denounce you that we have one flabbergasting book in this domain named “ The Deep Learning with Keras Workshop” written by @Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat.

???? This book is commendable for those aspirant and newbie who want to understand hands on deep learning practise with Keras.

Amazon : https://www.amazon.in/Deep-Learning-Keras-Workshop-network/dp/1800562969

Disclaimer :

The publisher invited that I audit this book and delivered me a review copy. I am substantiated to be 100% legitimate about this book, I felt decent about this book.

Overview:

This book is for those learners and newbie who wishes to plan their profession with deep learning and easy to use framework Keras. This book is will assist you to write down the code for deep learning concepts from the beginning and teach you how to create the code for neural network. This book is encompassing all the substantial concept characterization of deep learning incorporating ANN, RNN, LSTM, CNN with Real-world example code.

What I like:

If you have good foundation of deep learning and pondering to gain proficiency with the code than this is best starter book, which lend a helping hand to explore all the topic from scratch and formulate this book beginner manual.

The progression of the book which is introduce the basic machine learning concept and scikit learn package. Initial part clarified the fundamental distinction between machine learning and deep learning, help you to comprehend the idea of neural network maths behind this and its hands-on practice cause you to feel sure about the essential idea of deep learning.

Intermediate chapters direct you to pick up the more advance concept like Hyperparameter tuning, which incorporate the Improving the model precision, prevent the model to overfitting, select the best optimal parameter to gain the best accuracy for the model. Model evaluation concept, which demonstrate how to comprehend the inference result with assistance of different evaluation metrics such as sensitivity, specificity, ROC, AUC scores and its curve and how well you model behave.

Trailing chapters buries about the computer vision model such as Convolution neural network to work with spatial information. It presented pleasantly with Image classification practical example with CNN. It clarified you how CNN model uses various layers and liable for extract the best image features which help the model to classify the image in true sense. Transfer learning is the concept, where we can employ the pretrained model knowledge to improve the custom model accomplishment. Last part of the book helps you to comprehend the sequence to sequence learning, which is utilized for time series and Natural language processing problem.

Most positive things about this book is all concept define in practical way with code.

What I do not like:

This is well written for the beginner. I only want to drive the attention of author about the topics such as how to design custom layers so beginner can also take leverage of designing custom layer.

What I would like to see:

I would like to see more advance concept on the future edition of this book.

I must recommend this book for every beginner to buy.

Happy learning….!!!