/courses/machine-learning/deep-learning-tensorflow/Recent content in Deep Learning with TensorFlow on DATATWEETSHugoenCopyright (c) 2025 DatatweetsFri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/deep-learning-tensorflow/lesson-1-deep-learning-fundamentals/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/deep-learning-tensorflow/lesson-1-deep-learning-fundamentals/Discover what deep learning is, why you reach for a framework like TensorFlow and Keras, and how the training loop turns data into a model. You will meet the real Indian IPO dataset you will use across this whole module and frame the prediction problem you will solve./courses/machine-learning/deep-learning-tensorflow/lesson-2-introduction-to-tensorflow-operations/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/deep-learning-tensorflow/lesson-2-introduction-to-tensorflow-operations/Discover the building block of every deep learning model: the tensor. You will create constants and variables, inspect ranks, shapes, and dtypes, run elementwise math, matrix multiplication, and broadcasting, convert between NumPy and TensorFlow, and meet eager execution and automatic differentiation with tf.GradientTape, all grounded in the real Indian IPO dataset./courses/machine-learning/deep-learning-tensorflow/lesson-3-building-a-shallow-neural-network-with-the-sequential-api/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/deep-learning-tensorflow/lesson-3-building-a-shallow-neural-network-with-the-sequential-api/Learn the Keras Sequential API by building a shallow neural network classifier on the real Indian IPO dataset. You will stack Dense layers, choose activations, set the input shape, read model.summary(), compile the model, and run a brief fit to see it learn./courses/machine-learning/deep-learning-tensorflow/lesson-4-multi-layer-deep-learning-models/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/deep-learning-tensorflow/lesson-4-multi-layer-deep-learning-models/Move beyond a single hidden layer. Stack multiple Dense layers, train with validation_data, read the History object to spot overfitting, and fight it with Dropout and L2 regularization on a real Indian IPO listing-gains dataset./courses/machine-learning/deep-learning-tensorflow/lesson-5-deep-learning-with-the-keras-functional-api/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/deep-learning-tensorflow/lesson-5-deep-learning-with-the-keras-functional-api/Discover why the Keras functional API exists, how it differs from the Sequential API, and when to reach for each. You will rebuild an IPO listing-gains classifier with the functional API and construct a branching model with two parallel Dense paths that merge before the output./courses/machine-learning/deep-learning-tensorflow/lesson-6-guided-project-predicting-ipo-listing-gains-with-tensorflow/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/deep-learning-tensorflow/lesson-6-guided-project-predicting-ipo-listing-gains-with-tensorflow/Work through a complete deep learning project in TensorFlow: load the real Indian IPO dataset, explore and prepare it, build and train a Keras Sequential model, and evaluate it honestly. You will see why a neural network struggles to beat a coin flip on this data, and what that teaches you about real-world modeling.