Advanced Deep Learning with Python This is the code repository for Advanced Deep Learning with Python, published by Packt. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
Advanced Deep L .earning with Keras: 1.keras 2.DNN 3.自动编码 4.生成对抗网络 5.改进的GAN 6.Disentangled Representation GANs 7.跨领域GANs 8.Variational Autoencoders (VAEs):概括地说,VAE就是一个自动编码器(autoencoder),但它编码后的分布在训练阶段需要被正则化,以此让它的隐空间(latent space)有...
The model was developed and evaluated on a laptop with Windows 11 Home version operating system, equipped with an Intel i7-12650H 2.3GHz CPU, 32GB of RAM, and an NVIDIA RTX3050 GPU. Python was used as the primary development language, with PyTorch chosen as the deep learning framework. Dur...
Introduction to Deep Learning with Keras 1 The Keras Functional APIIniciar Capítulo In this chapter, you'll become familiar with the basics of the Keras functional API. You'll build a simple functional network using functional building blocks, fit it to data, and make predictions. Ver detalhes...
cd Advanced-Deep-Learning-with-Keras pip install -r requirements.txt sudo apt-get install python-pydot sudo apt-get install ffmpeg Test if a simple model can be trained without errors: cd chapter1-keras-quick-tour python3 mlp-mnist-1.3.2.py ...
Discover and implement deep reinforcement learning methods Who this book is for This is not an introductory book, so fluency with Python is required. The reader should also be familiar with some machine learning approaches, and practical experience with DL will also be helpful. Knowledge of Keras...
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Fundamentally, convolution neural networks aka ConvNets or CNN and recurrent neural networks or RNN are explained with a few examples and their implementation in Python. Intuitive explanation with easily understandable mathematical interpretation can be seen in this chapter.Bharadwaj, Yellapragada Sai ...
To efficiently analyze the absorption characteristics of porous metals at different strain rates, the deep learning model must comprehensively take account into the influence of various factors. This includes both time-dependent factors, such as the strain, and time-independent factors, such as the st...