Deep Learning Quick Reference includes essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and more. Supplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow. (Limited-time offer)
Table of Contents
- The Building Blocks of Deep Learning
- Using Deep Learning to Solve Regression Problems
- Monitoring Network Training Using TensorBoard
- Using Deep Learning to Solve Binary Classification Problems
- Using Keras to Solve Multiclass Classification Problems
- Hyperparameter Optimization
- Training a CNN from Scratch
- Transfer Learning with Pretrained CNNs
- Training an RNN from scratch
- Training LSTMs with Word Embeddings from Scratch
- Training Seq2Seq Models
- Using Deep Reinforcement Learning
- Generative Adversarial Networks
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Author(s): Mike Bernico
Publisher: Packt Publishing
Published: March 2018
Format(s): Online
File size: –
Number of pages: 272
Download / View Link(s): This offer has ended.
Free as of08/21/2019 12/18/2021.
Publisher: Packt Publishing
Published: March 2018
Format(s): Online
File size: –
Number of pages: 272
Download / View Link(s): This offer has ended.
Free as of