Advanced-Deep-Learning-with-Keras
dnn_from_scratch
Advanced-Deep-Learning-with-Keras | dnn_from_scratch | |
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1 | 1 | |
1,716 | 29 | |
0.2% | - | |
0.0 | 0.0 | |
about 1 year ago | almost 3 years ago | |
Python | Python | |
MIT License | - |
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Advanced-Deep-Learning-with-Keras
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Cannot understand how REINFORCE model is trained
I have understood the concept of REINFORCE algorithm and what policy gradient is. However, when I see the code published by PacktPublishing, I was stuck with it.
dnn_from_scratch
What are some alternatives?
AdaVAE - [Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
deepxde - A library for scientific machine learning and physics-informed learning
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
HyperGAN - Composable GAN framework with api and user interface
ALAE - [CVPR2020] Adversarial Latent Autoencoders
Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
guesslang - Detect the programming language of a source code
Keras-GAN - Keras implementations of Generative Adversarial Networks.
open-lpr - Open Source and Free License Plate Recognition Software
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis