BOOKS - PROGRAMMING - Deep Learning and its Applications using Python
Deep Learning and its Applications using Python - Niha Kamal Basha, Surbhi Bhatia Khan, Abhishek Kumar 2023 PDF | EPUB Wiley-Scrivener BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
54356

Telegram
 
Deep Learning and its Applications using Python
Author: Niha Kamal Basha, Surbhi Bhatia Khan, Abhishek Kumar
Year: 2023
Pages: 255
Format: PDF | EPUB
File size: 20.5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning in Internet of Things for Next Generation Healthcare
Deep Learning with PyTorch Guide for Beginners and Intermediate
Handbook of Research on Deep Learning Innovations and Trends
Math and Architectures of Deep Learning (Final Release)
Generalization with Deep Learning For Improvement on Sensing Capability
Many-Sorted Algebras for Deep Learning & Quantum Technology
GANs in Action Deep learning with Generative Adversarial Networks
Deep Learning Cookbook Practical Recipes to Get Started Quickly
Introduction to Deep Learning with complete Python and TensorFlow examples
Deep Learning Tools for Predicting Stock Market Movements
Deep Learning Tools for Predicting Stock Market Movements
Deep Learning Tools for Predicting Stock Market Movements
Understanding Deep Learning Application in Rare Event Prediction
Demystifying Deep Learning An Introduction to the Mathematics of Neural Networks
Deep Learning Models A Practical Approach for Hands-On Professionals
MATLAB Deep Learning Toolbox Getting Started Guide (R2020a)
Inside Deep Learning Math, Algorithms, Models (MEAP)
Evolutionary Deep Learning: Genetic algorithms and neural networks
Deep Learning for Medical Image Analysis, 2nd Edition
Generative Deep Learning, 2nd Edition (Early Release)
Deep Learning Tools for Predicting Stock Market Movements
Deep Learning from Scratch Building with Python from First Principles (First Releas)
Deep Learning for Medical Image Analysis, 2nd Edition
Deep Learning from first principles Second Edition In vectorized Python, R and Octave
Deep Learning for Natural Language Processing: A Gentle Introduction
Deep Learning (MIT Press Essential Knowledge series)
Generative Deep Learning with Python Unleashing the Creative Power of AI
Hardware Architectures for Deep Learning (Materials, Circuits and Devices)
Understanding Deep Learning Application in Rare Event Prediction
Many-Sorted Algebras for Deep Learning & Quantum Technology
Deep Learning Models A Practical Approach for Hands-On Professionals
Practical MATLAB Deep Learning: A Project-Based Approach
MATLAB Deep Learning Toolbox User’s Guide (R2024b)
Deep Learning with Python, 2nd Edition (MEAP Version 4)
Generative Deep Learning with Python Unleashing the Creative Power of AI
Foundations of Deep Reinforcement Learning Theory and Practice in Python
Deep Learning for Natural Language Processing A Gentle Introduction
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
MATLAB Deep Learning Toolbox User’s Guide (R2022b)
Deep Learning for Natural Language Processing A Gentle Introduction