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Raspberry Pi Pico | End-to-end AI Design Tutorial [Example]
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![Schematic of Raspberry Pi Pico | End-to-end AI Design Tutorial [Example]](data:image/png;base64,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jcV3XL+vVK5FIDKuqMgzDukeBQMDtdm/dsiUfSMViMauy5vLLL29qavL7/X6/3zrldDo1TVuydOlTf/qTrusPPfxwLBbrVlpqnleJM2zYsGHDhnXUhVRVVS1csKCjRgMAAAB+FAIOoFMMHTKko4aqqqpatXp14ZFsNvvgrFmyLIuCMGXKlA8//HDZI4+sXLEiEAjk23z91VejR4+2CjTSqVTv3r337Nnj8/tn3H//K2vXvvf++2fPnLnjzjvfefttq+hD1/X8Zg3WCLIk7d+//8jhw+Xl5dZeHugkyWTS7fG8sXHjnXfd9e233x794ourBw48evRoz549S0tLrdzK2iFl6LBhu3ftEgQhHo/7fL5sNisIwsc7d06aNGnnzp35AWVZ7t27d3t7u9PprLr+etMwAoHA1ClTXnvttXO2U6mpqaHsAgAAAJcGAg7Aflwu119efDGXy02aPHnz5s2SJDmdTkVRztkxVBCEadOmFZeUPLN8uaZpEyZMOHny5HfffVdWXj58+PBkIlFWVuZwOBKJhNVRkqSx48Zde+21H2zd6nQ6Kyor3377ba/X26XX+h9BluURI0YcOnQoFo0qivLxxx9f1qvXrl27SktLhw4bpijKM8uXP/Loo4IgNDc1KYoimObkyZOPHj169OhRXddra2sfe+yxXbt25QeMx+M/69PnvXffzWazB8Ph2k8/HTJkyOnTp9lhFAAAAJcwsTgY7Oo5APghVgXH7x5/PBwOFx7XNM16moamaZqmFRUVndPRMAzrO3xr5UIsFtM0LRgMWu0lSVIUpaWl5de/+Y0gCJs2bfrq5EkrPVEURVGUZDLp8Xh4fspPI5VKZTIZr9frdrszmYymaX6/P5lMZrPZUCiUy+WSyaTX69V13bo1VtGNz+fTNM3pdBqGkcvl8ktU2trarOfmyLLs9/slSUokEqIoWquZ8jZt3kwFBwAAAC4ZVHAAduVwOKxFJefvo2GRJCm/56i1bYf1QpZll8tlva6srFz7t79Z208WNhYEIf9pGT8Br9ebL5bJ76Xi8/msSEJRlOLi4nzjYEEwnb+V+Rfn30ruJgAAAP4TEHAAEFi5AAAAAMDu2DgQAAAAAADYHgEHAAAAAACwPQIOAAAAAABgewQcAAAAAADA9gg4AAAAAACA7RFwAAAAAAAA2yPgAAAAAAAAtkfAAQAAAAAAbI+AAwAAAAAA2B4BBwAAAAAAsD0CDgAAAAAAYHsEHAAAAAAAwPYIOAAAAAAAgO0RcAAAAAAAANsj4AAAAAAAALZHwAEAAAAAAGyPgAMAAAAAANieo6snAODfZxiGIAimaZqmKQiCKIqyLFunrIOiKFo/iqJotbFOWcdN05QkqXC0fPvCllbfc0b7qS4RQv7mWjco/+YbhpG/QdaR/AvTNK2/jcKz1jiFdxwAAAC4lPB/uoBdxePxq6++OpVKxePx2XPmTJ4yJZVK5c9mMpnS0tJMJtPe3t6jZ894PD5y1KjRo0dHo9H29nZVVTOZTGtra759e3v7z372s3g8nslkftanTyQSGX3LLTNnzgwEAoIgVFRUTJo0aeaDD0YiEV3Xu+aC//Pouh6JRG697bbevXtHo1Gv1xuJRJqamhobG1tbW8vKymRZzt8XTdPyHROJxIOzZs2aPbulpSWVSs188MHpM2ZMmjSJewcAAIBLGAEHYEvZbLa8omLI0KG6ri9evHjlihXBYLB///75Bj0vu2zc+PHW1/7Dhw93OBxtra2vvfbaHXfcEQwGy8rKYrHY4sWLM5mM1d7lco266Sa/35/JZEaOHCkIQiqVevrpp++eONHv99fX12/fseOpP/1p2SOPFMYo6FS5XG7atGlvbNx45MgRr9d7z733VlZW3jdt2rTp02+99dZx48Y1Njbu3bvXui/JZDLfMZlMhg8cqKmp+eVjj6VSqebm5heef/7ll1+m9AYAAACXMJaoAJ1i/2efder4iUTigZkzk4mEIAh79+6dPn26rmmff/55ZWWl1cDtcuUXIzgVJRaLhbp1c7vdb7zxRr9+/caPHz9o8OCzDQ1ut9tq4/F49u7Z88DMmS+vWROLxWRZzqTTXq935YoVS5ctW/70081NTcFg0DTNkpISCgF+GpIknTx58qqrrvrss89yudyn+/bdMHx49+7dDcPoXlm5detWQRDiiURRUVEymezfv39zc7PVUVGUjz766Lrrrjt27JggCIrDMW369Gh7+8cff3zOr6iurq6uru6oCdfV1S1csKCjRgMAAAB+FAIOoFMsWriwo4YaVlV1zkdQTdMWL1mSyWR8Pt/lvXs7nc5NmzbdMmZM4ffzkUjE2qYhl8tpuu52uzdu2DD6llu6V1a+9dZbO3fuPHDgwOQpU9ra2kKhkNXls88+u2H48Bn33//n556TZVlRFNM0fX6/tdGDoiiSJImiqKpqfqcPdCrTNOvq6mRZvm/atPffe2/37t1Lly07cOBAIBDo37//oUOHRFF0KoqiKE6nM5vN5jsGAoFoNHrLmDFP/vd/O53OV155xTTNJUuX7tix45xfUVdXV7NyZUdNuLa2tqOGAgAAAH4sAg6gU3TwJ71/DTgkSapZubKye/dx48blVDVYXNza2vpFfX1h7tDQ0GDtxHHftGl1dXWXX365oii7d+2aO3duWVnZ6TNnfD5fRUVF4ZaTTqezrrZ26NChbrc7l8t5PB632z17zpxVNTWCIFx55ZX19fXWmD6fryOvDt8jl8uNnzDhww8+2F9Xd9VVV+3fv19RlB3btzscjv79+7tcLk3Tuvfo0dzSoijK2bNn8/clnU4/8MADL69ZY8VhS5cte2b58gvuDltbW0sqAQAAgEuDWBwMdvUcAPyQqqqqVatX/+7xx8PhcOHxhoaGoqIiTdNM0xwwYMB3332nqqrX6803aGxsnHrPPQcPHmxpbhYEIRaP+32+WCzmcDisrUNjsVhRUdH9v/iFKIrvv/deLBZrbm52Op2hUCiRSJSWlhYFg/VHjgSDQTWX+3mfPul0+ujRo/lVMPgJRCIRRVGSyWRRUZHL5SouLm5oaMjlcqFQyNpB9tprr1VzuS/q68vLy/O9Ghoarr322mw2m8lk4vF4JBKZMGHCli1bCtsIgrDp/7V3/89RVfcfx8+53+/uzSYkQxLEtrZSrUUdCRlHrSNURRsETKAQItP+8mEm87Ezn/7Y/iFtP+bT/iC/FIiz8AnSOqPVGWsqdbRInVGhkRDFYSCJsPmyu/fu/XI+P5xhG2Pp0E7IEj7Px0+7e8+ec+/+wAyvvM/7vPLK0NDQElZwAAAAAA1EwAHc7K4VcCyJJEnq54natr3k8+NmRsABAACAWwlbVID/1yyLfwQAAAAA3Ao4JhYAAAAAAKx4/PEWQANEURRFUS6XW7NmzZkzZxzH8TzPNE0ppVKqXC7Hcbx+/frPPvusUqnoq7qriD7eJQgC3VF1bm4uTVMpZRzH9Q6ahmEopfSLOI5zuVyWZXozjlIqSZJ8Pu95nt6SE8dxFEV6uYmJiUql4vu+PjJmenpaHyXT0tJS79tKCxIAAADg5kTAAaABTNPctn27fn3Pd79rW1axWGxqajJN88qVK3v37g2jSAix7tvfFkL84bXXsiwzDKO9vX3T5s2O4xwbGam3U925a5ch5cGDB/ft2yeEUEJEUWRIqZTKlMr5frFY3L1nTxzHpmkKpdI0NQzj+PHj+uvlcnn37t1RrVZf7nfHjwshXNddtWrV9x9//NjISON+JwAAAADXi4ADwLLKsqxUKvX29Xmu+9JLLzmOE4bhs729AwMDR48eDcNwYGCgGob/e/So67pRFD23b9+TW7YcGxkpFAq6RiNLU8MwdDmGlDJJEse229raisWibpja29t7/vz5d955x3GcelmHY9uHDx82DCMMw/7+/qeffvrll182DGPPnj1hFB0pFn3fT5Kkv7//mW3bjhSLruvWb1i/oHYDAAAAuJnRgwPAskrTdPuOHUKI4eHh5uZm3/d93//bmTPVMKzValEUVcPw7bffDoIgn8+3trYePnRICPHMM8/ooMGQ0nGc7du3z83NKaX0VhQtCIJCoWAYRpKmcRz7vq8n0VeVEJ7nBUGwatWqkZGRTKk4jqvVahhFb775Zmtraz6fD4Lg0KFDQojHn3iicb8QAAAAgH8HAQeAZZWmac73bctyHEd/4nneqVOnjhSLSZJ85557hBCXLl6sX7Vt23Uc3/d1wGFZ1sTERBzHPVu31mq1hQHHQm1tbV86IEYpvS8mSZJaraZrMaSU9913nxBiplQyDEMPcBzHNIzb1qxZjt8CAAAAwNJhiwqAZaWUqsWx73k6U9Dquz/WdHbqoKF+yTAM07KqlYp+G8fx2NhYGIZf/8Y34jhOkuS6VpVSKLV27dpqtdrV1aWUcl3X93297sI70U1M4zhesgcGAAAAsCwIOAAsN90VY2HxhVIqTVOdXywarJQSStVbaSghLly4UCqV7ly3bseOHceOHXMd51p1HAvFcfzAAw9IKaMoev3116vVai6X08stuhO1YDkAAAAAKwVbVAAsK8MwPM8Lw7DevFMpNT8/397ePj8/f/r0ab2NpT4+y7IoilzPq4cOUsqmpqaXhocty+rfu3dhucc/Ydv28PDw4cOHlVJbt27VKcZXl0uSJKrVLNte6ucGAAAAcGMRcABYVq7rnjx5MlNqbm5OJwvVarW3t7erq8uyrMuXLwshevv6qtWqjhsqlUqaZSf/8pd6kKGTjiAIxs+dq1YqC+OJRS5evHjx4kV98IqQ0nXdQqFw8ODBMAxvu+22JEkuXLgghNi2bZsOXGq1mt7z8tqrr9YnWdTp43qqRQAAAAAsPwIOAMttbGzMMs09/f1RFE1PTz/22GNxkpw9e9ZxHM/zvpiellL29PRMT0+vXr161w9/aFvW+Pj4wk4ZQgjHcf566lQul4tqta8uUfvyh7U4lleTkdWrVyulurq6KpVKe3v7TKlk2fZTTz115cqVzs7OHc8+67nuzMyM/qJpGHd885tTU1OTk5NTU1NTU1Pz8/M3+OcBAAAA8O+gBweA5dbc3FwsFgeee+4HPT36k08nJj7++ONcLieEOHXq1O1f+9rdd9+9c9cuIYTvefpAWT3Sse36XpVCoXDgwIHdu3cvnFxKKaU8f/58fZjeFFPvr2Ga5pEjR/p27rzjjjump6dPnDhx1113fevOO/t27hRCuI4zPDzc0tKiv5tl2cMPPfTggw/qt7ZlHT16dLl+JwAAAAD/Atly9b8NAG5O3d3d//PrX//8Zz/74IMPGn0vSymKIr37Qx9cUj8XVtdf6N0ihmHoS3p/Srlc1p07mpqa9Mg4jsMwlFLmcjld4qGUmp2dNQwjn89PTk7qI1pmZ2ellJ7n2batd75Uq1XDMHK5nJQyTdNKpZKmqV7O9309+fz8/KINKVJKx3EW3uqK9vtXXhkaGhp64YVG3wgAAACwBKjgANAYruu6rvsPL10rRMjn84s+sW3b/nJDUCllvdyjfvpsoVBYOMayrHpEoo+GXfi2LgiC634aAAAAAA1GDw4AAAAAALDiEXAAAAAAAIAVj4ADAAAAAACseAQcAAAAAABgxaPJKAA0RpZlpVKp/tbzvCiK9LktQRDMzs7qnqmu69ZqNT3GMAzDMJIk0Q1W0zS1LMs0zTiOTdOsN2FVSkVRFEWR53mu605OTiqlfN9f1GwVAAAAuJVQN4+acwAAAuxJREFUwQEAjSGlNAzj3nvv/Y/9+33fr1Qqz//kJ83NzaZplsvl/fv3r1+//pFHHimXy2vXrh0cHNywYUMURb19fT09PZZlVavVnp6e/r17Z2ZmqtXqoiNmNnZ3Dw4OpmlaLpf7du780Y9/PDg4GMdx4x4XAAAAuLGo4ACAhnEc56OPPtq0eXOaprq8QtdrhGEYJ8mHH36YJIlpmp9//rmQ8t133w2CQArR3NJiXlUoFAYGBkZHR6WU9UIPKeVbf/zj/fffb9t2pVI5Nz5+8uTJzZs3Z1m26Aa6u7u7f/ObpXqc9957b+iFF5ZqNgAAAOBfQgUHADSGUqq+/cSyLCFEmqZBECRJ4rrugRdf3LRp057+ftu2C4WCZZq2bedyuTiOozAsFApZlun8oqOz84knn1wUXniep+OSIAg839+yZUt7R8dX72Hjxo3L+MQAAADADUQFBwA0ht6iYhh/D5oNKcfGxlpWrZqdmenauPGNN964c926fD5v27YSQkqp23CMj49PTk6madrR0fHF5csHXnzxP59/3vO8+fn5v091dVrTNP984sTG7u6gqWnhWtrQ0BA1FwAAALg1EHAAQGPowCJJkomJCcMwpJTSMP7rpz8VQvzyF784c/r02ttv/2J6ulQqdXR0fPrpp3pMkiTfe/TR7z366KVLl0ZHR99//33DMF4+duzS5GQ+l6tP7nneuXPnZmdngyB46OGHN2zY8N+/+lV7e3sjHxgAAAC4kQg4AKCROjs7/zQ6atu2lPLgb3+rd5q0trZWKpXSlSumaepU4k+jo01NTUKI0dFRPUZKqZRqa2sTQszOzvqet3DaLMtG33orCAIhxNlPPjn7ySekGwAAALi1EXAAQIN9aZfK1de5BeUY1xqja0CuNef1DAMAAABuGTQZBQAAAAAAKx4BBwAAAAAAWPEIOAAAAAAAwIpHwAEAAAAAAFY8Ag4AAAAAALDiEXAAAAAAAIAVj4ADAAAAAACseP8HLPrqHbo5ndIAAAAASUVORK5CYII=)