Mirza Rahim Baig - The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text

• Understand how to implement deep learning with TensorFlow and Keras
• Learn the fundamentals of computer vision and image recognition
• Study the architecture of different neural networks

Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout.

The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. Youll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, youll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, youll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis.

By the end of this deep learning book, youll have learned the skills essential for building deep learning models with TensorFlow and Keras.

• Understand how deep learning, machine learning, and artificial intelligence are different
• Develop multilayer deep neural networks with TensorFlow
• Implement deep neural networks for multiclass classification using Keras
• Train CNN models for image recognition
• Handle sequence data and use it in conjunction with RNNs
• Build a GAN to generate high-quality synthesized images

If you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly.

1. Building Blocks of Deep Learning
2. Neural Networks
3. Image Classification with Convolutional Neural Networks (CNNs)
4. Deep Learning for Text - Embeddings
5. Deep Learning for Sequences
6. LSTMs, GRUs, and Advanced RNNs
7. Generative Adversarial Networks