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)
Topics included: 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.
Download Free PDF / Read Online
Publisher: Packt Publishing
Published: March 2018
File size: –
Number of pages: 272
Download / View Link(s): This offer has ended.
Free as of 08/21/2019.