Deep Learning with keras - Learn how to install keras, various deepl learning algorithms used in Keras, implmentation of auto-encoders in keras with example
Leran how to customize layers in keras - Keras Custom layers using two methods - Lambda layers and Custom class layer. learn their implementation & example
Learn Advantages of keras that make it worth learning and useful in different applications. Also learn disadvantages of keras before using it.
Learn what is Keras and OpenCV with their applications. See Keras vs OpenCv to understand differences between OpenCv and keras for proper understanding.
Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
Learn Python Keras Features - What is Keras, Why learn Keras, key features of keras like prelabeled datasets, multiple methods in keras etc
Keras backends - Learn the 2 popular backend engines used by keras - Theano and Tensorflow. Learn how to change the backend in keras.
Masking and padding in Keras - Learn masking and padding techniques in Keras and how to implement them. Learn ways of Keras masking with examples.
Learn the Features of Keras that make it worth to learn keras like backend support, the basis of innovation, and the simplicity of Keras API etc.
Keras layers - Learn about various layers of Keras - Core Layers, Convolution Layers, Pooling Layers, Recurrent Layers, their properties, and parameters.
Learn Python keras applications - Learn when, wherre and how to use keras for you various applications using keras pretrained models.
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This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.
Derivatives and partial derivatives are important concepts that we need to understand in order to gain knowledge on how neural network training works. We wil...
An updated deep learning introduction using Python, TensorFlow, and Keras.Text-tutorial and notes: https://pythonprogramming.net/introduction-deep-learning-p...
Activation functions (step, sigmoid, tanh, relu, leaky relu ) are very important in building a non linear model for a given problem. In this video we will co...
This video gives a very simple explanation of a chain rule that is used while training a neural network. Chain rule is something that is covered when you stu...
Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.
Inside this tutorial you'll learn how to configure your macOS machine for deep learning using Python, Keras, and TensorFlow.
Learn Python in simple way with the best Python tutorial for beginners. It is curated by experts in the industry to help you learn easily.
