vaibhav kumarforVaibhav's Blogvaibhavkumar.hashnode.net·Dec 15, 2020Introduction to Generative-Adversarial Networks(GANs) using PyTorchWhat are GANs? It stands for Generative-Adversarial Networks. Consists of two neural networks contesting against each other. These GANs can be used to generate real looking pictures and videos of virtually anything. Two contesting neural networks are...Discuss·240 likes·155 readsDeep Learning
vaibhav kumarforVaibhav's Blogvaibhavkumar.hashnode.net·Dec 16, 2020Neural Style TranferWhat is Neural Style Transfer? It is a process of applying a new artistic style on an existing original image by using a pre-trained neural network, usually a convolutional neural network. e.g, AlexNet, VGG19, SqueezeNet etc. How does it works? Take...Odejide Meshach and 2 others are discussing this3 people are discussing thisDiscuss·236 likes·388 reads2Articles1WeekAwesome 👍 4
vaibhav kumarforVaibhav's Blogvaibhavkumar.hashnode.net·Dec 29, 2020Feed Forward Networks using PyTorchIn this article, we will see in how many ways we can implement Feed Forword Neural Networks in PyTorch. For this we will be using a three neurons network that takes two input features and gives output through the last neuron as shown in fig. Importi...Discuss·77 likes·315 readsDeep Learning using PyTorchneural networks
K KoyalforBinary Bellebinarybelle.hashnode.net·Apr 21, 2023AGI (Artificial General Intelligence)I'm K. Koyal, an introverted third-year B.Tech student. In this generation, people like to identify as an introvert and prefer to chat with bots like Siri, Alexa, Google Assistant etc. These are nothing but the form of AGI (Artificial General Intelli...Discuss·1 like·27 readsArtificial Intelligence
naga sai purvazforMindumppurvazdump.hashnode.net·Apr 21, 2023Making the neural network from scratchBuilding a neural network from scratch requires a good understanding of the underlying principles and mathematics involved in neural networks. Here's a step-by-step guide to building a simple neural network from scratch using Python: Import necessar...Discussai
Fora SoftforFora Soft's Blogforasoft.hashnode.net·Apr 10, 2023How to Teach Your iOS App Recognize Tone of VoiceLearn more about neural networks and how they work in general in one of our previous materials with comics. This article is a guide to how to work with them on iOS. And in particular, how to implement speech recognition and characterize what's recogn...DiscussiOS
krzforones and zeroskrz.hashnode.net·Apr 10, 2023Backpropagation from the ground upBackpropagation is a popular algorithm used in training neural networks, which allows the network to learn from the input data and improve its performance over time. It is essentially a way to update the weights and biases of the network by propagati...DiscussMachine Learning
Rahul ShashidharforRahul's Insightstopg.hashnode.net·Apr 5, 2023Title: Understanding Artificial Intelligence: Definition, Applications, and Societal ImpactIntroduction Discover the cutting-edge technology that is transforming our world with unprecedented speed: Artificial Intelligence (AI). From chatbots and virtual assistants that make our daily lives easier to advanced medical tools that diagnose ill...DiscussArtificial Intelligence
Abhinaba BanerjeeforAbhinaba's blogsabhinaba621.hashnode.net·Mar 27, 2023A Deep Dive into Optimizers: Adam, Adagrad, RMSProp, and AdadeltaIntroduction This article is the next part of this article on Optimization algorithms where we discussed Gradient Descent, Stochastic Gradient Descent, Mini-Batch Gradient Descent, and Momentum-based Gradient Descent Optimizers. In this article, we w...DiscussPython
Srikanthan Prakashfortechwithsrikanth.hashnode.net·Mar 24, 2023"Interpreting Deep Learning Models: Techniques and Tools"Deep learning has revolutionized the field of artificial intelligence by enabling machines to learn from large amounts of data without being explicitly programmed. However, understanding how these models make decisions can be challenging, especially ...DiscussDeep Learning
Dr. Himanshu RaiforArtificial Insightshimanshuraiml.hashnode.net·Mar 21, 2023Artificial Neural Networks -Part1: Introduction and FeedforwardArtificial neural networks (ANNs) are a type of machine learning algorithm that can learn from data and perform tasks such as classification, regression, clustering, anomaly detection, etc. ANNs are inspired by the structure and function of biologica...Discuss·29 readsMachine Learningneural networks
Sarvesh KesharwaniforNLPsarvesh42.hashnode.net·Mar 20, 2023How to set checkpoints in neural networks?In neural networks, checkpoints are used to save the model's parameters at specific intervals during training so that the training can be resumed from that point later. Setting checkpoints in neural networks can be done using various deep learning fr...Discussneural networks
Joy Krishan DasforJoy's blogjoykrishan.hashnode.net·Mar 18, 2023Into the heart of Multi-Layer Perceptron Neural Networks (Part-2)Previously, in Part - 1, we completed a forward pass through one neuron and computed the output value. $$\hat{Y} = tanh(w_1x_1 + w_2x_2 + b)$$Now, we will calculate the gradients of parameters [w1, w2, b] using backpropagation. What is Backpropagatio...Discuss·26 readsneural networks
