2:17
Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python)
We will go over what is the difference between pytorch, tensorflow and keras in this video. Pytorch and Tensorflow are two most ...
4:12
Installing Tensorflow and Keras in Jupyter Notebook using Anaconda THE RIGHT WAY!
Install Tensorflow and Keras in Jupyter Notebook using Anaconda will allow you to use these Python modules error free in their ...
2:47:55
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn ...
15:22
L57: Image classification with python(keras)
IIT Madras - B.S. Degree Programme
Welcome to Lecture 57 of the course "Tools in Data Science" by Prof. S Anand. Full Course link: ...
3:31
How to install Keras (Python deep learning library) on Anaconda on Windows OS
This video will show you how to install Keras ( Deep learning) library on Anaconda on Windows Operating system.
7:34
Building and Evaluating a predictive model using Keras
In this video, I build a predictive model using deep learning techniques (Python Keras library tensorflow as a backend) and plotted ...
33:19
Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
Tensorflow tf.Data api allows you to build a data input pipeline. Using this you can handle large dataset for your deep learning ...
3:41
What is Keras and Tensorflow | Keras vs Tensorflow
In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine learning ...
10:49
Python: Keras Python Library | Introduction to Data Science | CS442_Topic077
Virtual University of Pakistan
CS442 - Introduction to Data Science, Topic077: Python - Keras Python Library, By Mr. Aftab Ahmed ...
24:41
Keras - training a network to recognize handwritten digits | #8 neural networks in Python
We create a fully connected network in Keras for recognizing handwritten digits from the MNIST database. The issues of ...
30:20
Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras
In this beginner deep learning tutorial we will go through the entire process of creating a deep neural network in Python with ...
10:10
What Is Keras? | What Is Keras In Deep Learning | Keras Tutorial For Beginners | Simplilearn
"️ Michigan Engineering - Professional Certificate in AI and Machine Learning ...
5:31
Deep Learning with Python: Keras Behind the Scenes | packtpub.com
This playlist/video has been uploaded for Marketing purposes and contains only introductory videos. For the entire video course ...
5:55
LSTM for beginners - Python Tutorial (Tensorflow, Keras)
Code: https://github.com/Skripkon/time-series-forecasting-with-lstm In this video I'll show how to use an LSTM for solving a Time ...
34:18
Intro to Python Deep Learning libraries- Tensorflow, Keras, PyTorch | Programming foundations for ML
Welcome to this foundational lecture on deep learning frameworks in Python – TensorFlow, Keras, and PyTorch. If you are new to ...
7:16
How to implement an image search engine using Keras, Tensorflow with Python 3 in Ubuntu 18.04
Read the original article here: ...
52:58
TensorFlow Python Tutorial | Create a Custom Trained Model using Keras Package | OneTouchBI
Welcome to the knowledge base portal - WWW.ONETOUCHBI.COM. It's the platform to connect all BI Associates under one ...
9:42
Deep Learning with Python, TensorFlow, and Keras tutorial
Pyresearch #deeplearning #python #tensorflow #keras #tutorial Exciting news! We've just released a new tutorial on Deep ...
20:54
2019, Installing TensorFlow, Keras, & Python 3.7 in Windows
This video was updated for TensorFlow 2.x. https://www.youtube.com/watch?v=PnK1jO2kXOQ Updated for 2019! This video walks ...
21:35
Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python)
In this video we will discuss how exactly word embeddings are computed. There are two techniques for this (1) supervised ...