jojo62000 / Learn-Keras-for-Deep-Neural-Networks
Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras. The overall book comprises three sect…
☆29Updated 6 years ago
Alternatives and similar repositories for Learn-Keras-for-Deep-Neural-Networks:
Users that are interested in Learn-Keras-for-Deep-Neural-Networks are comparing it to the libraries listed below
- Artificial Intelligence By Example Second Edition, published by Packt☆50Updated 4 years ago
- The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and …☆18Updated 6 years ago
- ☆12Updated 4 years ago
- Deep Learning with fastai Cookbook, published by Packt☆59Updated 3 years ago
- ☆12Updated 5 years ago
- Deep Learning Quick Reference, published by Packt☆42Updated 2 years ago
- Code snippets from 2015 book by Sebastian Raschka - "Python Machine Learning"☆27Updated 8 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 4 years ago
- NumPy fundamentals for tensor computation; Matplotlib for data visualization☆23Updated 6 years ago
- Hands On Transfer Learning with Python, published by Packt☆83Updated 2 years ago
- Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io☆43Updated 3 years ago
- A collection of deep learning notebooks for learning and practicing.☆18Updated 4 years ago
- Learn image classification and language modeling☆32Updated 2 years ago
- Published by Packt☆20Updated 2 years ago
- This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Im…☆39Updated 6 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 3 years ago
- This repository contains all my small projects related with Data Science and Machine Learning.☆45Updated 2 years ago
- A open source book covering the foundational maths of deep learning and machine learning using TensorFlow☆33Updated 6 years ago
- Building simple ML apps with Streamlit☆24Updated 4 years ago
- This repository is updated by a number of introductory projects to deep learning with Python.☆39Updated 2 years ago
- In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different we…☆77Updated 5 years ago
- Deep Learning Concepts and Research Paper Implementations.☆18Updated 6 years ago
- Hands on Unsupervised Learning with Python [Video], Published by Packt☆29Updated 2 years ago
- Source Code for 'Deep Learning with Applications Using Python' by Navin Kumar Manaswi☆53Updated 6 years ago
- Data Science Boot-Camp : UC San DiegoX☆17Updated last year
- Tutorials for using Tensorflow and Keras for NLP☆14Updated 7 years ago
- Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM…☆20Updated 6 years ago
- This repository contains my solutions and stand-alone Colab-friendly notebooks for the Intro to Deep Learning with PyTorch Course on Udac…☆19Updated 6 years ago
- Source code for 'Hands-on Scikit-Learn for Machine Learning Applications' by David Paper☆26Updated 5 years ago
- ☆27Updated 6 years ago