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Archives for MachineCurve.com

Mon 08 January 2024: LLM in a Flash: improving memory requirements of large language models
Tue 02 January 2024: What is Retrieval-Augmented Generation?
Wed 27 December 2023: Building a zero-shot image classifier with CLIP and HuggingFace Transformers
Wed 27 December 2023: In-Context Learning: what it is and how it works
Fri 22 December 2023: CLIP: how it works, how it's trained and how to use it
Wed 22 November 2023: Building a Stable Diffusion like text-to-image pipeline using DreamShaper 7
Sun 19 November 2023: A gentle introduction to LoRA for fine-tuning large language models
Sun 30 January 2022: How to build a U-Net for image segmentation with TensorFlow and Keras
Sat 29 January 2022: Grouped convolutions with TensorFlow 2 and Keras
Fri 28 January 2022: U-Net, a step-by-step introduction
Mon 24 January 2022: Greedy layer-wise training of deep networks, a PyTorch example
Sun 23 January 2022: Building a Decision Tree for classification with Python and Scikit-learn
Thu 20 January 2022: How to build a ResNet from scratch with TensorFlow 2 and Keras
Thu 13 January 2022: ResNet, a simple introduction
Sun 09 January 2022: Greedy layer-wise training of deep networks, a TensorFlow/Keras example
Fri 07 January 2022: Quick and easy GPU & TPU acceleration for PyTorch with HuggingFace Accelerate
Tue 04 January 2022: Easy Object Detection with Python, HuggingFace Transformers and Machine Learning
Tue 28 December 2021: How to use Upsample for upsampling with PyTorch
Mon 27 December 2021: StyleGAN, a step-by-step introduction
Wed 10 November 2021: Cropping layers with PyTorch
Wed 10 November 2021: How to use TensorBoard with PyTorch
Tue 09 November 2021: GANs: an Introduction to Fréchet Inception Distance (FID)
Sun 07 November 2021: Introduction to Isotropic architectures in Computer Vision
Tue 05 October 2021: Simple Multi-options A/B/n test with Multi-Armed Bandit in Python
Wed 21 July 2021: How to use L1, L2 and Elastic Net regularization with PyTorch?
Tue 20 July 2021: How to create a neural network for regression with PyTorch
Mon 19 July 2021: How to use PyTorch loss functions
Sat 17 July 2021: Building a simple vanilla GAN with PyTorch
Thu 15 July 2021: Creating DCGAN with PyTorch
Thu 15 July 2021: Creating DCGAN with TensorFlow 2 and Keras
Wed 14 July 2021: Easy grammar error detection & correction with Machine Learning
Thu 08 July 2021: Convolutional Neural Networks with PyTorch
Wed 07 July 2021: Using Dropout with PyTorch
Tue 30 March 2021: How to label your dataset for YOLO Object Detection
Mon 29 March 2021: Batch Normalization with PyTorch
Thu 25 March 2021: Conditional GANs (cGANs) explained
Thu 25 March 2021: Creating Interactive Visualizations of TensorFlow Keras datasets
Wed 24 March 2021: An introduction to DCGANs
Tue 23 March 2021: Generative Adversarial Networks, a gentle introduction
Tue 16 March 2021: DialoGPT: Transformers for Dialogues
Tue 16 March 2021: Easy Chatbot with DialoGPT, Machine Learning and HuggingFace Transformers
Fri 12 March 2021: Transformers for Long Text: Code Examples with Longformer
Thu 11 March 2021: Longformer: Transformers for Long Sequences
Wed 10 March 2021: Easy Table Parsing with TAPAS, Machine Learning and HuggingFace Transformers
Fri 05 March 2021: The TAPAS Transformer: Table Parsing with BERT
Wed 03 March 2021: Easy Causal Language Modeling with Machine Learning and HuggingFace Transformers
Tue 02 March 2021: Easy Masked Language Modeling with Machine Learning and HuggingFace Transformers
Fri 26 February 2021: What is ConvBERT and how does it work?
Wed 17 February 2021: Easy Speech Recognition with Machine Learning and HuggingFace Transformers
Tue 16 February 2021: Wav2vec 2: Transformers for Speech Recognition
Mon 15 February 2021: Easy Machine Translation with Machine Learning and HuggingFace Transformers
Mon 15 February 2021: What is the BART Transformer in NLP?
Mon 15 February 2021: What is the T5 Transformer and how does it work?
Thu 11 February 2021: Easy Named Entity Recognition with Machine Learning and HuggingFace Transformers
Wed 10 February 2021: How to predict new samples with your PyTorch model?
Wed 03 February 2021: How to save and load a PyTorch model?
Tue 02 February 2021: How to use K-fold Cross Validation with PyTorch?
Wed 27 January 2021: Testing PyTorch and Lightning models
Tue 26 January 2021: Creating a Multilayer Perceptron with PyTorch and Lightning
Thu 21 January 2021: Using ReLU, Sigmoid and Tanh with PyTorch, Ignite and Lightning
Wed 20 January 2021: Binary Crossentropy Loss with PyTorch, Ignite and Lightning
Tue 19 January 2021: Visualizing Transformer behavior with Ecco
Fri 15 January 2021: Object Detection for Images and Videos with TensorFlow 2.0
Wed 13 January 2021: Getting started with PyTorch
Tue 12 January 2021: Using SELU with TensorFlow 2.0 and Keras
Mon 11 January 2021: Bidirectional LSTMs with TensorFlow 2.0 and Keras
Thu 07 January 2021: Build an LSTM Model with TensorFlow 2.0 and Keras
Wed 06 January 2021: ALBERT explained: A Lite BERT
Tue 05 January 2021: DALL·E: OpenAI GPT-3 model can draw pictures based on text
Mon 04 January 2021: Intuitive Introduction to BERT
Sat 02 January 2021: Intuitive Introduction to OpenAI GPT
Tue 29 December 2020: A gentle introduction to Long Short-Term Memory Networks (LSTM)
Tue 29 December 2020: Differences between Autoregressive, Autoencoding and Sequence-to-Sequence Models in Machine Learning
Mon 28 December 2020: Introduction to Transformers in Machine Learning
Wed 23 December 2020: How to perform Sentiment Analysis with Python, HuggingFace Transformers and Machine Learning
Mon 21 December 2020: Question Answering with Python, HuggingFace Transformers and Machine Learning
Mon 21 December 2020: How to perform Text Summarization with Python, HuggingFace Transformers and Machine Learning
Mon 21 December 2020: From vanilla RNNs to Transformers: a history of Seq2Seq learning
Tue 15 December 2020: Performing OPTICS clustering with Python and Scikit-learn
Thu 10 December 2020: Performing Linear Regression with Python and Scikit-learn
Wed 09 December 2020: DBSCAN clustering tutorial: example with Scikit-learn
Mon 07 December 2020: Introducing PCA with Python and Scikit-learn for Machine Learning
Thu 03 December 2020: Using Deep Learning for Classifying Mail Digits
Tue 01 December 2020: How to check if your Deep Learning model is underfitting or overfitting?
Wed 25 November 2020: Using Radial Basis Functions for SVMs with Python and Scikit-learn
Tue 24 November 2020: One-Hot Encoding for Machine Learning with Python and Scikit-learn
Tue 24 November 2020: One-Hot Encoding for Machine Learning with TensorFlow 2.0 and Keras
Mon 23 November 2020: Feature Scaling with Python and Sparse Data
Thu 19 November 2020: How to Normalize or Standardize a Dataset in Python?
Thu 19 November 2020: Python Feature Scaling with Outliers in your Dataset
Tue 17 November 2020: How to perform Multioutput Regression with SVMs in Python
Mon 16 November 2020: Creating a Multilabel Neural Network Classifier with Tensorflow 2.0 and Keras
Mon 16 November 2020: How to create a train/test split for your Machine Learning model?
Thu 12 November 2020: How to create a Multilabel SVM classifier with Scikit-learn
Thu 12 November 2020: Using Error-Correcting Output Codes with Scikit-learn for multiclass SVM classification
Wed 11 November 2020: Creating One-vs-Rest and One-vs-One SVM Classifiers with Scikit-learn
Tue 10 November 2020: An introduction to TensorFlow.Keras callbacks
Tue 10 November 2020: Working with Imbalanced Datasets with TensorFlow 2.0 and Keras
Thu 05 November 2020: ML against COVID-19: detecting disease with TensorFlow, Keras and transfer learning
Thu 05 November 2020: Saying hello to TensorFlow 2.4.0
Tue 03 November 2020: How to evaluate a TensorFlow 2.0 Keras model with model.evaluate
Mon 02 November 2020: Machine Learning Error: Bias, Variance and Irreducible Error with Python
Thu 29 October 2020: Why nonlinear activation functions improve ML performance - with TensorFlow 2.0 example
Tue 27 October 2020: Using Teachable Machine for creating TensorFlow models
Mon 26 October 2020: Your First Machine Learning Project with TensorFlow 2.0 and Keras
Thu 22 October 2020: Distributed training: TensorFlow and Keras models with Apache Spark
Tue 20 October 2020: Tutorial: building a Hot Dog - Not Hot Dog classifier with TensorFlow and Keras
Mon 19 October 2020: 3 Variants of Classification Problems in Machine Learning
Fri 16 October 2020: TensorFlow Cloud: easy cloud-based training of your Keras model
Wed 07 October 2020: Easy install of Jupyter Notebook with TensorFlow 2.0 and Docker
Tue 06 October 2020: TensorFlow model optimization: introducing weight clustering
Thu 01 October 2020: Measuring sparsity during training: TensorFlow PruningSummaries
Tue 29 September 2020: TensorFlow pruning schedules: ConstantSparsity and PolynomialDecay
Wed 23 September 2020: TensorFlow model optimization: an introduction to Pruning
Wed 16 September 2020: TensorFlow model optimization: an introduction to Quantization
Sun 13 September 2020: TensorFlow Eager Execution: what is it?
Tue 09 June 2020: Automating neural network configuration with Keras Tuner
Tue 05 May 2020: How to create a confusion matrix with Scikit-learn?
Tue 05 May 2020: How to visualize support vectors of your SVM classifier?
Sun 03 May 2020: Creating a simple binary SVM classifier with Python and Scikit-learn
Sat 02 May 2020: Visualizing gradient importance with Vanilla Gradients and tf-explain
Mon 27 April 2020: Neural network Activation Visualization with tf-explain
Sun 26 April 2020: How to use HDF5Matrix with Keras?
Thu 23 April 2020: How to perform Mean Shift clustering with Python in Scikit?
Sat 18 April 2020: Affinity Propagation Tutorial: Example with Scikit-learn
Thu 16 April 2020: K-means Clustering tutorial: example with Scikit-learn
Mon 13 April 2020: How to use H5Py and Keras to train with data from HDF5 files?
Mon 13 April 2020: Storing web app machine learning predictions in a SQL database
Wed 08 April 2020: How to Perform Fruit Classification with Deep Learning in Keras
Mon 06 April 2020: Using simple generators to flow data from file with Keras
Sun 05 April 2020: How to find the value for Keras input_shape/input_dim?
Wed 01 April 2020: How to generate a summary of your Keras model?
Mon 30 March 2020: How to use Conv2D with Keras?
Thu 19 March 2020: Tutorial: How to deploy your ConvNet classifier with Keras and FastAPI
Tue 17 March 2020: Help fight COVID-19: participate in the CORD-19 challenge
Tue 03 March 2020: Classifying IMDB sentiment with Keras and Embeddings, Dropout & Conv1D
Thu 27 February 2020: Visualizing your Neural Network with Netron
Wed 26 February 2020: Getting out of Loss Plateaus by adjusting Learning Rates
Tue 25 February 2020: Training your Neural Network with Cyclical Learning Rates
Fri 21 February 2020: How to predict new samples with your TensorFlow / Keras model?
Thu 20 February 2020: Finding optimal learning rates with the Learning Rate Range Test
Tue 18 February 2020: How to use K-fold Cross Validation with TensorFlow 2 and Keras?
Fri 14 February 2020: How to save and load a model with Keras?
Mon 10 February 2020: Using Constant Padding, Reflection Padding and Replication Padding with TensorFlow and Keras
Sun 09 February 2020: How to build a ConvNet for CIFAR-10 and CIFAR-100 classification with Keras?
Sat 08 February 2020: How to use padding with Keras?
Thu 06 February 2020: What is padding in a neural network?
Tue 04 February 2020: How to use Cropping layers with TensorFlow and Keras?
Fri 31 January 2020: Reducing trainable parameters with a Dense-free ConvNet classifier
Thu 30 January 2020: What are Max Pooling, Average Pooling, Global Max Pooling and Global Average Pooling?
Sun 26 January 2020: Which regularizer do I need for training my neural network?
Fri 24 January 2020: Overview of activation functions for neural networks
Thu 23 January 2020: How to use L1, L2 and Elastic Net Regularization with TensorFlow 2.0 and Keras?
Tue 21 January 2020: What are L1, L2 and Elastic Net Regularization in neural networks?
Wed 15 January 2020: How to use Batch Normalization with Keras?
Tue 14 January 2020: What is Batch Normalization for training neural networks?
Fri 10 January 2020: Making more datasets available for Keras
Wed 08 January 2020: How does the Softmax activation function work?
Tue 07 January 2020: Visualizing Keras neural networks with Net2Vis and Docker
Mon 06 January 2020: How to use FTSwish with Keras?
Fri 03 January 2020: What is the FTSwish activation function?
Mon 30 December 2019: Exploring the Keras Datasets
Mon 30 December 2019: How to create a variational autoencoder with Keras?
Thu 26 December 2019: How to visualize the encoded state of an autoencoder with Keras?
Tue 24 December 2019: What is a Variational Autoencoder (VAE)?
Sat 21 December 2019: How to use Kullback-Leibler divergence (KL divergence) with Keras?
Fri 20 December 2019: Building an Image Denoiser with a Keras autoencoder neural network
Thu 19 December 2019: Creating a Signal Noise Removal Autoencoder with Keras
Wed 18 December 2019: How to use Dropout with Keras?
Mon 16 December 2019: What is Dropout? Reduce overfitting in your neural networks
Wed 11 December 2019: UpSampling2D: how to use upsampling with Keras?
Tue 10 December 2019: Conv2DTranspose: using 2D transposed convolutions with Keras
Mon 09 December 2019: How to use ELU with Keras?
Thu 05 December 2019: How to use PReLU with Keras?
Tue 03 December 2019: Visualize Keras models: overview of visualization methods & tools
Tue 03 December 2019: What do ConvNets see? Visualizing filters with Activation Maximization
Mon 02 December 2019: Visualize layer outputs of your Keras classifier with Keract
Thu 28 November 2019: Visualizing Keras CNN attention: Grad-CAM Class Activation Maps
Mon 25 November 2019: Visualizing Keras CNN attention: Saliency maps
Mon 18 November 2019: Activation Maximization with TensorFlow 2 based Keras for visualizing model inputs
Sun 17 November 2019: Beyond Swish: the LiSHT activation function
Sun 17 November 2019: How to use LiSHT activation function with TensorFlow 2 based Keras?
Wed 13 November 2019: How to use TensorBoard with TensorFlow 2 and Keras?
Tue 12 November 2019: Using Leaky ReLU with TensorFlow 2 and Keras
Mon 11 November 2019: Problems with fixed and decaying learning rates
Wed 06 November 2019: What is a Learning Rate in a Neural Network?
Mon 04 November 2019: Life 3.0 Review: Being Human in the Age of AI
Sun 03 November 2019: Extensions to Gradient Descent: from momentum to AdaBound
Thu 24 October 2019: Gradient Descent and its variants
Wed 23 October 2019: How to use Logcosh with TensorFlow 2 and Keras?
Wed 23 October 2019: Rise of the Machines Review: AI's broader context
Tue 22 October 2019: How to use binary & categorical crossentropy with TensorFlow 2 and Keras?
Fri 18 October 2019: A simple Conv3D example with TensorFlow 2 and Keras
Thu 17 October 2019: How to use categorical / multiclass hinge with TensorFlow 2 and Keras?
Tue 15 October 2019: How to use hinge & squared hinge loss with TensorFlow 2 and Keras?
Tue 15 October 2019: Leaky ReLU: improving traditional ReLU
Sat 12 October 2019: Using Huber loss with TensorFlow 2 and Keras
Fri 11 October 2019: Visualizing the decision boundary of your TensorFlow 2 / Keras model
Tue 08 October 2019: Visualizing training performance with TensorFlow 2 and Keras
Mon 07 October 2019: How to visualize a model with TensorFlow 2 and Keras?
Sun 06 October 2019: How to use sparse categorical crossentropy with TensorFlow 2 and Keras?
Fri 04 October 2019: About loss and loss functions
Sun 29 September 2019: Understanding transposed convolutions
Tue 24 September 2019: Creating depthwise separable convolutions with TensorFlow 2 and Keras
Mon 23 September 2019: Understanding separable convolutions
Fri 20 September 2019: Understanding SVM and SVR for Classification and Regression
Tue 17 September 2019: How to create a CNN with TensorFlow 2.0 and Keras?
Mon 16 September 2019: He/Xavier initialization & activation functions: choose wisely
Mon 09 September 2019: ReLU, Sigmoid and Tanh with TensorFlow 2 and Keras
Wed 04 September 2019: ReLU, Sigmoid and Tanh: today's most used activation functions
Fri 30 August 2019: Vanishing and exploding gradients
Thu 22 August 2019: Weight initialization in neural networks: what is it?
Tue 30 July 2019: MLP for regression with TensorFlow 2 and Keras
Sat 27 July 2019: How to create an MLP classifier with TensorFlow 2 and Keras
Wed 24 July 2019: Why you can't truly create Rosenblatt's Perceptron with Keras
Tue 23 July 2019: Linking maths and intuition: Rosenblatt's Perceptron in Python
Mon 22 July 2019: Commoditizing AI? The state of automated machine learning.
Fri 19 July 2019: CNNs and feature extraction? The curse of data sparsity.
Thu 18 July 2019: Can neural networks approximate mathematical functions?
Wed 17 July 2019: This Person Does Not Exist - how does it work?
Mon 10 June 2019: Why you shouldn't use a linear activation function
Sat 01 June 2019: Could chaotic neurons reduce machine learning data hunger?
Thu 30 May 2019: Using EarlyStopping and ModelCheckpoint with TensorFlow 2 and Keras
Thu 30 May 2019: Why Swish could perform better than ReLu
Fri 07 December 2018: Convolutional Neural Networks and their components for computer vision
Fri 23 November 2018: What is deep learning exactly?
Sat 30 September 2017: The differences between AI, machine learning & more