3D DEEP LEARNING WITH PYTHON design and develop your computer vision model with 3D data using PyTorch3D and more /
Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with ease Key Features Understand 3D data processing with rendering, PyTorch optimization, and heterogeneous batching Implement differentiable rendering conc...
| Main Author: | Ma, Xudong |
|---|---|
| Other Authors: | Hegde, Vishakh, Yolyan, Lilit |
| Format: | eBook |
| Language: | English |
| Published: |
[S.l.] :
PACKT PUBLISHING LIMITED,
2022.
|
| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Deep learning CNN : convolutional neural networks with Python.
Published: (2022)
Published: (2022)
Python for deep learning : build neural networks in Python.
Published: (2022)
Published: (2022)
Handbook of research on computer vision and image processing in the deep learning era /
Published: (2023)
Published: (2023)
Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlow models using Python /
by: Gridin, Ivan
Published: (2022)
by: Gridin, Ivan
Published: (2022)
Deep learning in visual computing and signal processing /
Published: (2023)
Published: (2023)
Inside deep learning : math, algorithms, models /
by: Raff, Edward
Published: (2022)
by: Raff, Edward
Published: (2022)
PyTorch to fastai de hajimeru dīpu rāningu : enjinia no tame no AI apurikēshon kaihatsu /
by: Howard, Jeremy (Scientist), et al.
Published: (2021)
by: Howard, Jeremy (Scientist), et al.
Published: (2021)
Chokkan Deep learning : Python Keras de aidea o katachi ni suru reshipi /
by: Gulli, Antonio
Published: (2018)
by: Gulli, Antonio
Published: (2018)
Tensor voting : a perceptual organization approach to computer vision and machine learning /
by: Mordohai, Philippos
Published: (2007)
by: Mordohai, Philippos
Published: (2007)
Tensor voting : a perceptual organization approach to computer vision and machine learning /
by: Mordohai, Philippos
Published: (2006)
by: Mordohai, Philippos
Published: (2006)
Advanced computer vision projects /
Published: (2018)
Published: (2018)
Math and architectures of deep learning /
by: Chaudhury, Krishnendu, et al.
Published: (2024)
by: Chaudhury, Krishnendu, et al.
Published: (2024)
Deep Learning avec Keras et TensorFlow
by: Géron, Aurélien
Published: (2020)
by: Géron, Aurélien
Published: (2020)
Modern deep learning design and application development : versatile tools to solve deep learning problems /
by: Ye, Andre
Published: (2022)
by: Ye, Andre
Published: (2022)
Training Ludwig declarative deep learning models using Mac Studio M1Ultra.
Published: (2022)
Published: (2022)
End-to-end deep learning for predicting Airbnb prices /
Published: (2020)
Published: (2020)
Hands-on deep learning model training with the sequential API in Keras.
Published: (2020)
Published: (2020)
Data science prerequisites : Numpy, Matplotlib, and Pandas in Python.
Published: (2023)
Published: (2023)
DATA AUGMENTATION WITH PYTHON enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data /
by: Haba, Duc
Published: (2023)
by: Haba, Duc
Published: (2023)
Deep learning and its applications using Python /
Published: (2023)
Published: (2023)
The principles of deep learning theory : an effective theory approach to understanding neural networks /
by: Roberts, Daniel A., 1987-, et al.
Published: (2022)
by: Roberts, Daniel A., 1987-, et al.
Published: (2022)
Python de manabu dīpu rāningu no riron to jissō /
by: Saitō, Kōki, 1984-
Published: (2016)
by: Saitō, Kōki, 1984-
Published: (2016)
Deep learning : foundations and concepts /
by: Bishop, Christopher M., et al.
Published: (2024)
by: Bishop, Christopher M., et al.
Published: (2024)
Computer vision projects with Python 3 /
Published: (2018)
Published: (2018)
3D contour plots.
Published: (2020)
Published: (2020)
3D points and lines.
Published: (2020)
Published: (2020)
Applications of machine learning and deep learning for privacy and cybersecurity /
Published: (2022)
Published: (2022)
OpenCV computer vision examples with Python : a complete guide for dummies /
Published: (2019)
Published: (2019)
Hyperparameter tuning with Python : boost your machine learning model's performance via hyperparameter tuning.
by: Owen, Louis
Published: (2022)
by: Owen, Louis
Published: (2022)
Machine Learning for Streaming Data with Python : Rapidly Build Practical Online Machine Learning Solutions Using River and Other Top Key Frameworks /
by: Korstanje, Joos
Published: (2022)
by: Korstanje, Joos
Published: (2022)
TIME SERIES ANALYSIS WITH PYTHON COOKBOOK practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation /
by: Atwan, Tarek A.
Published: (2022)
by: Atwan, Tarek A.
Published: (2022)
Python for machine learning : the complete beginner's course.
Published: (2021)
Published: (2021)
Jissen kikai gakushū shisutemu /
by: Richert, Willi, et al.
Published: (2014)
by: Richert, Willi, et al.
Published: (2014)
Python for machine learning : the complete beginner's course.
Published: (2022)
Published: (2022)
Federated learning with Python : design and implement a federated learning system and develop applications using existing frameworks /
by: Nakayama, Kiyoshi
Published: (2022)
by: Nakayama, Kiyoshi
Published: (2022)
Deep learning in practice /
by: Ghayoumi, Mehdi
Published: (2022)
by: Ghayoumi, Mehdi
Published: (2022)
Visual sensing and ubiquitous computing /
Published: (2025)
Published: (2025)
Practical convolutional neural networks /
by: Sewak, Mohit, et al.
Published: (2018)
by: Sewak, Mohit, et al.
Published: (2018)
PyTorch recipes : A Problem-Solution Approach to Build, Train and Deploy Neural Network Models /
by: Mishra, Pradeepta
Published: (2022)
by: Mishra, Pradeepta
Published: (2022)
3D surface plots.
Published: (2020)
Published: (2020)